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Contrast Effects or Loss Aversion? Comment on Usher and McClelland (2004)

Jerome R. Busemeyer, James T. Townsend, Adele Diederich, Rachel Barkan
<span title="">2005</span> <i title="American Psychological Association (APA)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7dgw55nuivbwlepq7ytxkik6ny" style="color: black;">Psychological review</a> </i> &nbsp;
2004) recently proposed a new connectionist type of model to explain context effects on preferential choice including the similarity, attraction, and compromise effects.  ...  They compared their model with an earlier connectionist type model for these same effects proposed by R. Roe, J. R. Busemeyer, and J. T. Townsend (2001) and raised several new issues.  ...  Two of these models (Guo & Holyoak, 2002; Roe et al., 2001 ) rely on the neural network concept of distant dependent-lateral inhibition to produce the attraction and compromise effects. 1 Using this mechanism  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1037/0033-295x.112.1.253">doi:10.1037/0033-295x.112.1.253</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15631596">pmid:15631596</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qukvtzzbzzc5fpvrooypqnjpi4">fatcat:qukvtzzbzzc5fpvrooypqnjpi4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20150308234535/http://www.indiana.edu/~psymodel/papers/contrast%20effects.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7e/0e/7e0e277e9cdd078a9ec3296c92f130d491d22bbc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1037/0033-295x.112.1.253"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Multistable network dynamics through lateral inhibition: an efficient mechanism for selective information routing

Daniel Harnack, Klaus R Pawelzik, Udo A Ernst
<span title="">2014</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hus553nnwfhsbi2wiivfjdwxru" style="color: black;">BMC Neuroscience</a> </i> &nbsp;
When increasing the strength of the lateral inhibition between A and B, the system transitions from a regime of mixed representations to a bistable one, where one sending population is in a favorable in-phase  ...  Here, we investigate neural mechanisms of information routing and their effectiveness in a generic, two-layered cortical network model with lateral recurrent interactions.  ...  Acknowledgements This work was supported by the BMBF (Bernstein Award Udo Ernst, grant no. 01GQ1106). Published: 21 July 2014  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1471-2202-15-s1-p165">doi:10.1186/1471-2202-15-s1-p165</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4125096/">pmcid:PMC4125096</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rxxhh6yucjesxcfzgs6v4lhps4">fatcat:rxxhh6yucjesxcfzgs6v4lhps4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170818180844/https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/1471-2202-15-S1-P165?site=bmcneurosci.biomedcentral.com" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/6e/916e26a262b69a7579b4e7980bfc71a19348eafd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1471-2202-15-s1-p165"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125096" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A Competitive Distribution Theory of Neocortical Dynamics

James A. Reggia, C. Lynne D'Autrechy, Granger G. Sutton, Michael Weinrich
<span title="">1992</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rckx6fqoszfvva5c53bqivu5am" style="color: black;">Neural Computation</a> </i> &nbsp;
Further, as noted earlier, analysis of the dynamics of competitive distribution networks implies that they tend to require stronger self-inhibition of elements than do net- works using lateral inhibitory  ...  This relationship is static in Model I and dynamic in Model C.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/neco.1992.4.3.287">doi:10.1162/neco.1992.4.3.287</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hkmw72bvrvf53pufd5zhopcpde">fatcat:hkmw72bvrvf53pufd5zhopcpde</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/details/sim_neural-computation_1992-05_4_3/page/288" title="read fulltext microfilm" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Archive [Microfilm] <div class="menu fulltext-thumbnail"> <img src="https://archive.org/serve/sim_neural-computation_1992-05_4_3/__ia_thumb.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/neco.1992.4.3.287"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> mitpressjournals.org </button> </a>

Modelling Biological Networks by Action Languages Via Answer Set Programming [chapter]

Susanne Grell, Torsten Schaub, Joachim Selbig
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Finally, we describe one of its applications, namely, the sulfur starvation response-pathway of the model plant Arabidopsis thaliana and sketch the functionality of our system and its usage.  ...  We describe an approach to modeling biological networks by action languages via answer set programming.  ...  is elaboration tolerant because it allows to easily extend a part of the model without requiring to change the rest of it.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11799573_22">doi:10.1007/11799573_22</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dzz5j6aawbgffmcw3melucyavu">fatcat:dzz5j6aawbgffmcw3melucyavu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809083141/http://users.dimi.uniud.it/~agostino.dovier/WCBSI/SUMB140207/scaub.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/83/f2/83f25f25032504862e223143f0ac17f51bfe93c6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11799573_22"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Continuous attractors of a class of recurrent neural networks without lateral inhibition

Haixian Zhang, Stones Lei Zhang, Jiali Yu, Hong Qu
<span title="">2008</span> <i title="IEEE"> 2008 IEEE Conference on Cybernetics and Intelligent Systems </i> &nbsp;
The dynamical behaviors of continuous attractors are interesting properties of recurrent neural networks. This paper proposes a class of recurrent neural networks without lateral inhibition.  ...  Since there is no general rule to determine the stability of the network without specifying the excitatory connections, individual conditions can be calculated analytically for some particular cases.  ...  This paper proposes a class of RNNs without lateral inhibition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccis.2008.4670891">doi:10.1109/iccis.2008.4670891</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j2uhmibpjrcb5nnw7f3zmvn4fy">fatcat:j2uhmibpjrcb5nnw7f3zmvn4fy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812213551/http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CyberIntSys_2008/PDFFILES/Papers/P0864.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1a/8e/1a8e6a72a854918e00d340fcbf8dcba078f5f237.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccis.2008.4670891"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions

Heiko Wersing, Wolf-Jürgen Beyn, Helge Ritter
<span title="">2001</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rckx6fqoszfvva5c53bqivu5am" style="color: black;">Neural Computation</a> </i> &nbsp;
We demonstrate the application of the conditions on a simple example and the orientation-selectivity model of Ben-Yishai et al. (1995) .  ...  The first condition can be applied to nonsymmetric networks and has a simple interpretation of requiring that the strength of local inhibition must match the sum over excitatory weights converging onto  ...  Acknowledgements The authors would like to thank J. J. Steil for helpful discussions. We also thank the anonymous referees for comments which improved the clarity of the presentation. H.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/08997660152469350">doi:10.1162/08997660152469350</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/11506671">pmid:11506671</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jhudtgeuizfdlhnbz5bivsuueq">fatcat:jhudtgeuizfdlhnbz5bivsuueq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20070614062101/http://www.techfak.uni-bielefeld.de/%7Ehwersing/WersingBeynRitter2001-DSC.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/8c/3d8c46a66459dc6dc1576e7c0dfb2845f53c939f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/08997660152469350"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> mitpressjournals.org </button> </a>

A Winner-Take-All Approach to Emotional Neural Networks with Universal Approximation Property [article]

E. Lotfi
<span title="2015-11-08">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Results indicate the general applicability and often superiority of the approach in terms of higher accuracy and lower model complexity, especially where low computational complexity is imperative.  ...  The WTA competition increases the information capacity of the model without adding hidden neurons.  ...  A cortical model of winner-take-all competition via lateral inhibition. Neural networks, 5(1), 47-54. [17] Cao, H., Cao, F., & Wang, D. (2015). Quantum artificial neural networks with applications.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1511.02426v1">arXiv:1511.02426v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/am5ybd6b5zafha5u6fuw4m5xma">fatcat:am5ybd6b5zafha5u6fuw4m5xma</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200823093356/https://arxiv.org/ftp/arxiv/papers/1511/1511.02426.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/57/ea/57ea5723c2b5455d63663894964bb2f59d905d8f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1511.02426v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Data-driven inference of network connectivity for modeling the dynamics of neural codes in the insect antennal lobe

Eli Shlizerman, Jeffrey A. Riffell, J. Nathan Kutz
<span title="2014-08-13">2014</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oqtegebkbzdxhnnm6apa2dr4ja" style="color: black;">Frontiers in Computational Neuroscience</a> </i> &nbsp;
These exciting results show the importance of neural codes and their relation to perception. The next challenge is to model the dynamics of neural codes.  ...  The network consists of lateral-inhibitory neurons and excitatory neurons, and is capable of producing unique olfactory neural codes for the tested odorants.  ...  ACKNOWLEDGMENTS The authors would like to thank the reviewers of the manuscript for their constructive comments and suggestions. We thank E. Sanders and E.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fncom.2014.00070">doi:10.3389/fncom.2014.00070</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25165442">pmid:25165442</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4131428/">pmcid:PMC4131428</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/utgomb5gdbbjfprxhogsuc3nia">fatcat:utgomb5gdbbjfprxhogsuc3nia</a> </span>
<a target="_blank" rel="noopener" href="https://archive.org/download/pubmed-PMC4131428/PMC4131428-fncom.2014.00070.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> File Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/74/33/7433c8417c1d4f9f83cc70f4b5bbb136e8ec3cce.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fncom.2014.00070"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131428" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Analytic solution of neural network with disordered lateral inhibition

Kosuke Hamaguchi, J. P. L. Hatchett, Masato Okada
<span title="2006-05-04">2006</span> <i title="American Physical Society (APS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nuk2stxzvvhf7ljciu325kj77m" style="color: black;">Physical Review E</a> </i> &nbsp;
Here we study the influence of disorder in the lateral-inhibition type interactions on the cooperative and uncooperative behavior of recurrent neural networks by using the replica method.  ...  Simulation results show that disordered interactions can stabilize the drift the of bump position, which is commonly observed in conventional lateral-inhibition type neural network.  ...  Acknowledgement This work is partially supported by Grant-in-Aid No. 14084212 and No. 16500093 from the Ministry of Education, Culture, Sports, Science, and Technology, the Japanese Government.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1103/physreve.73.051104">doi:10.1103/physreve.73.051104</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/16802915">pmid:16802915</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/g6mpgiu72vhupnhyrdga6sb4qi">fatcat:g6mpgiu72vhupnhyrdga6sb4qi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809101241/http://www.brain.riken.jp/labs/mns/hatchett/LateralInhibition.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ac/b8/acb89f1cd4145be8e44babb19ff6c407cf3699a4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1103/physreve.73.051104"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> aps.org </button> </a>

A Competitive-Layer Model for Feature Binding and Sensory Segmentation

Heiko Wersing, Jochen J. Steil, Helge Ritter
<span title="">2001</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rckx6fqoszfvva5c53bqivu5am" style="color: black;">Neural Computation</a> </i> &nbsp;
The dynamics is formulated within a standard additive recurrent network with linear threshold neurons.  ...  We present a recurrent neural network for feature binding and sensory segmentation, the competitive layer model (CLM).  ...  We also thank the anonymous referees for useful comments which improved the clarity of the manuscript. H. Wersing is supported by DFG grant GK-231. J. J. Steil is supported by DFG grant Ri-621-2-1.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/089976601300014574">doi:10.1162/089976601300014574</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/11177439">pmid:11177439</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vbj2slsijnhqdblaqvoconcjfu">fatcat:vbj2slsijnhqdblaqvoconcjfu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808040846/https://www.techfak.uni-bielefeld.de/~hwersing/WersingSteilRitter2001_NeuComp.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/41/89/41891cc8cb5af3ed8efff2bb7d036e11483f6d83.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/089976601300014574"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> mitpressjournals.org </button> </a>

A Simple Neural Network Exhibiting Selective Activation of Neuronal Ensembles: From Winner-Take-All to Winners-Share-All

Tomoki Fukai, Shigeru Tanaka
<span title="">1997</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rckx6fqoszfvva5c53bqivu5am" style="color: black;">Neural Computation</a> </i> &nbsp;
A neuroecological equation of the Lotka-Volterra type for mean firing rate is derived from the conventional membrane dynamics of a neural network with lateral inhibition and self-inhibition.  ...  It is suggested that our simple network model provides a mathematical basis for understanding neural selection mechanisms.  ...  It is also possible to interpret the network model formally as a type of shunting inhibition model (Grossberg 1973; Cohen and Grossberg 1983) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/neco.1997.9.1.77">doi:10.1162/neco.1997.9.1.77</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/9117902">pmid:9117902</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gbhr4ga4kbdnbfwxq6ti7rkike">fatcat:gbhr4ga4kbdnbfwxq6ti7rkike</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20110913104038/http://nct.brain.riken.jp/publications/199701_FukaiTanaka_NeuralComputation.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8c/2b/8c2bfb9db54713404f6ad36562ae2c5252450424.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/neco.1997.9.1.77"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> mitpressjournals.org </button> </a>

BehaviorSim

Pavel Lakhtanau, Xiaolin Hu, Fasheng Qiu
<span title="">2007</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rk4tzdw5nzcqfolehh5kubgisy" style="color: black;">Proceedings of the 45th annual southeast regional conference on - ACM-SE 45</a> </i> &nbsp;
A major paradigm of modeling the decision making of autonomous agents is through behavior-based network models.  ...  The system design of BehaviorSim is presented, followed by a description of its major functions.  ...  This research is supported by the Brains & Behavior Program at Georgia State University and NIH Grant P20-GM065762. The authors thank Prof.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/1233341.1233367">doi:10.1145/1233341.1233367</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/ACMse/LakhtanauHQ07.html">dblp:conf/ACMse/LakhtanauHQ07</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tofxmjsgqve3bejuq4zebm732a">fatcat:tofxmjsgqve3bejuq4zebm732a</a> </span>
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Emergent computation in simple model of neural activity [article]

Leandro M. Alonso
<span title="2019-02-09">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
For wide ranges of the network parameters, the patterns of activity resemble the dynamics of cellular automata.  ...  It is argued that these dynamical states may provide a template in which computation can be implemented.  ...  RESULTS The rest of the article consists of numerical explorations of the model. Figure 2 shows the dynamics of the network for increasing values of the lateral coupling k.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1609.02893v2">arXiv:1609.02893v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xkcct5xl7rehblhmdm2s7o67ba">fatcat:xkcct5xl7rehblhmdm2s7o67ba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191017172339/https://arxiv.org/pdf/1609.02893v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/29/2b/292bc5c167ed2fc949bb09a4f32e5bf315bd028e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1609.02893v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Making a swim central pattern generator out of latent parabolic bursters [article]

D. Alacam, A.L. Shilnikov
<span title="2015-03-25">2015</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We study the rhythmogenesis of oscillatory patterns emerging in network motifs composed of inhibitory coupled tonic spiking neurons represented by the Plant model of R15 nerve cells.  ...  Such motifs are argued to be used as building blocks for a larger central pattern generator network controlling swim locomotion of sea slug Melibe leonina.  ...  To model the Melibe swim CPG, we have first examined dynamical and structural properties of the Plant model and its responses to perturbations.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1503.07552v1">arXiv:1503.07552v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mi2xdn2tcfamrhovxpmjjbqfha">fatcat:mi2xdn2tcfamrhovxpmjjbqfha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191016070018/https://arxiv.org/pdf/1503.07552v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/28/4c/284c8928ee3b70b33b1c296cdd97a2bca48329e9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1503.07552v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Homeostatic development of dynamic neural fields

Claudius Glaser, Frank Joublin, Christian Goerick
<span title="">2008</span> <i title="IEEE"> 2008 7th IEEE International Conference on Development and Learning </i> &nbsp;
Dynamic neural field theory has become a popular technique for modeling the spatio-temporal evolution of activity within the cortex.  ...  When using neural fields the right balance between excitation and inhibition within the field is crucial for a stable operation.  ...  Homeostatic synaptic scaling dynamically adjust the balance between excitation and inhibition, which is due to the opposing effects of BDNF.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/devlrn.2008.4640816">doi:10.1109/devlrn.2008.4640816</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yuytqsbc5ndpnfmrte4yvnuwvu">fatcat:yuytqsbc5ndpnfmrte4yvnuwvu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321044715/http://robotics.cs.brown.edu/events/icdl/ICDL08-CD/papers/ICDL08_0008.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/53/41/5341714e6842cb5bbb7174ae380237af5ca78c51.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/devlrn.2008.4640816"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
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