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Searching for Collective Behavior in a Large Network of Sensory Neurons

Gašper Tkačik, Olivier Marre, Dario Amodei, Elad Schneidman, William Bialek, Michael J. Berry, Olaf Sporns
2014 PLoS Computational Biology  
Maximum entropy models are the least structured probability distributions that exactly reproduce a chosen set of statistics measured in an interacting network.  ...  Already in groups as small as 10 neurons, interactions between spikes can no longer be regarded as small perturbations in an otherwise independent system; for 40 or more neurons pairwise interactions need  ...  Acknowledgments We thank A Cavagna, I Giardina, T Mora, SE Palmer, GJ Stephens, and A Walczak for many helpful discussions. Author Contributions  ... 
doi:10.1371/journal.pcbi.1003408 pmid:24391485 pmcid:PMC3879139 fatcat:wubikppk2re7rezzde6s44mhqq

Neural Mechanisms for Evaluating Environmental Variability in Caenorhabditis elegans

Adam J. Calhoun, Ada Tong, Navin Pokala, James A.J. Fitzpatrick, Tatyana O. Sharpee, Sreekanth H. Chalasani
2015 Neuron  
Lau for helpful comments on the manuscript and other members of the Chalasani laboratory for critical help, advice, and insights. This work was funded by grants from The  ...  Komuniecki for strains and constructs; O. Hobert and N. Flames for cell-specific promoters; C. Stevens for helpful discussions; and J. Simon for illustrations. We are also grateful to L. Hale, B.  ...  A Subset of Sensory Neurons, ASI and ASK Are Specialized for Evaluating Patch Variability Previous studies identified three pairs of sensory neurons (ASI, ASK, and AWC) that drive local search behavior  ... 
doi:10.1016/j.neuron.2015.03.026 pmid:25864633 pmcid:PMC4409562 fatcat:57umfzo6urgtngxsedd6y3d55e

Application of Coarse-Coding Techniques for Evolvable Multirobot Controllers [chapter]

Jekanthan Thangavelautham, Paul Grouchy, Gabriele M. T. D'Eleuterio
2010 Computational Intelligence in Optimization  
In this chapter, we incorporate the Artificial Neural Tissue (ANT) approach for robot control from previous work with a novel Sensory Coarse Coding (SCC) model.  ...  This model is able to exploit regularity in the sensor data of the environment. Determining how the sensor suite of a robot should be configured and utilized is critical for the robots operation.  ...  Each output neuron commands one behavior of the agent. (In the case of a robot, a typical behavior may be to move forward a given distance.  ... 
doi:10.1007/978-3-642-12775-5_16 fatcat:s4qt7t5wcbfppng76pcdr6xegy

Functional Specialization in the Attention Network

Ian C. Fiebelkorn, Sabine Kastner
2019 Annual Review of Psychology  
Spatial attention is comprised of neural mechanisms that boost sensory processing at a behaviorally relevant location while filtering out competing information.  ...  The present review examines functional specialization in the network of brain regions that directs such preferential processing.  ...  Both stimulus properties and behavioral goals drive the dynamic allocation of spatial attention across different locations in the visual scene, for example, when searching for a behaviorally relevant target  ... 
doi:10.1146/annurev-psych-010418-103429 pmid:31514578 pmcid:PMC7026883 fatcat:begezzowafcndjpy3y3j5mrr7q

Editorial overview: Neurobiology of cognitive behavior: Complexity of neural computation and cognition

Alla Karpova, Roozbeh Kiani
2016 Current Opinion in Neurobiology  
or a few sensory neurons than one would expect.  ...  The classical approach to understanding the neural basis of cognition has relied on recording neural activity in animals performing well-controlled behavioral tasks, and searching for single neuron correlates  ...  or a few sensory neurons than one would expect.  ... 
doi:10.1016/j.conb.2016.03.003 pmid:26987704 pmcid:PMC5924697 fatcat:zwvtuzyoerdjviyn63llemuz2e

Distributed Recurrent Neural Forward Models with Synaptic Adaptation for Complex Behaviors of Walking Robots [article]

Sakyasingha Dasgupta and Dennis Goldschmidt and Florentin Wörgötter and Poramate Manoonpong
2015 arXiv   pre-print
adaptive forward models with efference copies as internal models for sensory predictions and instantaneous state estimations, and 3) searching and elevation control for adapting the movement of an individual  ...  Such predictions or planning ahead can be achieved by way of in- ternal models that are grounded in the overall behavior of the animal.  ...  The dashed frame shows a zoomed in view of a single reservoir neuron. In this setup, the input to each of the reservoir network comes from the CTr-joint of the respective leg.  ... 
arXiv:1506.03599v1 fatcat:qvlxofjmcve6fmjlh7ufg7zirq

Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots

Sakyasingha Dasgupta, Dennis Goldschmidt, Florentin Wörgötter, Poramate Manoonpong
2015 Frontiers in Neurorobotics  
Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots  ...  Acknowledgments This research was supported by the Emmy Noether Program (DFG, MA4464/3-1), the Federal Ministry of Education and Research (BMBF) by a grant to the Bernstein Center for Computational Neuroscience  ...  II Göttingen (01GQ1005A, project D1) and the International Max Planck Research School for Physics of Biological and Complex Systems scholarship.  ... 
doi:10.3389/fnbot.2015.00010 pmid:26441629 pmcid:PMC4585172 fatcat:xl3qeuxywra6znkzls3x32kwya

Sensory-Motor Circuits: Hox Genes Get in Touch

Polyxeni Philippidou, Jeremy S. Dasen
2015 Neuron  
The majority of the 39 vertebrate Hox genes are expressed in a large variety of sensory, motor, and interneuron classes.  ...  The diversity of animal behaviors relies on the ability of neurons to establish selective synaptic connections with target cells and integrate into functionally distinct networks.  ...  This function appears to be mediated by the nucleus accumbens shell (NAcSh), which is a ventral part of the striatum that has been referred to as a ''sensory sentinel'' for consummatory behavior (Kelley  ... 
doi:10.1016/j.neuron.2015.10.035 pmid:26539884 fatcat:jzxjdjs4lncyljq66bwuwdeeqm

Searching for simplicity in the analysis of neurons and behavior

G. J. Stephens, L. C. Osborne, W. Bialek
2011 Proceedings of the National Academy of Sciences of the United States of America  
behavior of C. elegans to the control of smooth pursuit eye movements in primates, and from the coding of natural scenes by networks of neurons in the retina to the rules of English spelling.  ...  Traditionally, simplification has been imposed by training animals to engage in a limited set of behaviors, by hand scoring behaviors into discrete classes, or by limiting the sensory experience of the  ...  Tka cik, and A. Walczak. This work was supported in part by grants from the National Science Foundation, the National Institutes of Health, and the Swartz Foundation.  ... 
doi:10.1073/pnas.1010868108 pmid:21383186 pmcid:PMC3176616 fatcat:xub4gur3rrh6toouchlgfz64fy

Beyond Control: The Dynamics of Brain-Body-Environment Interaction in Motor Systems [chapter]

Randall D. Beer
2009 Advances in Experimental Medicine and Biology  
constraints structure the fitness space for this task, and examine the impact of network architecture.  ...  This chapter reviews a line of work aimed at exploring this perspective in a simple model of walking.  ...  , Jeff Ames and Chad Seys for their many contributions to the work described in this chapter.  ... 
doi:10.1007/978-0-387-77064-2_2 pmid:19227493 fatcat:44gdapbarvefvanp5h5uavnenu

A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat

Fabien Moutarde
2008 2008 10th International Conference on Control, Automation, Robotics and Vision  
We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat behavior totally determined  ...  The target behavior is simple, but the learning task is challenging because of the dynamic complexity of fully-recurrent neural networks.  ...  The animat behavior is defined by a fully recurrent neural network with 5 sensory inputs, and a total of N fullyconnected neurons among which 4 are motor outputs, as illustrated on figure 1.  ... 
doi:10.1109/icarcv.2008.4795790 dblp:conf/icarcv/Moutarde08 fatcat:dxvrycvcobaxtmezpf6c6uozbu

Evolving neural networks

Risto Miikkulainen
2007 Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation - GECCO '07  
How Can We Search in Large Spaces?  ...  neurons to cooperate in networks 1,45,51 • E.g.  ... 
doi:10.1145/1274000.1274119 dblp:conf/gecco/Miikkulainen07 fatcat:4zyvbu3dxjb4hjqqicvwwzvjna

Winnerless competition between sensory neurons generates chaos: A possible mechanism for molluscan hunting behavior

Pablo Varona, Mikhail I. Rabinovich, Allen I. Selverston, Yuri I. Arshavsky
2002 Chaos  
Department of Energy Grant No. DE-FG03-96ER14592.  ...  ACKNOWLEDGMENTS We thank Ramón Huerta, Rafael Levi, and Henry Abarbanel for many useful discussions about the model. Support for this work came from NIH Grant No. 2R01 NS38022-05A1.  ...  An important role in the organization of hunting behavior is played by a pair of large neurons located in the cerebral ganglia, the cerebral hunting neurons ͑CHNs͒. 5, 6 The CHNs control the activity  ... 
doi:10.1063/1.1498155 pmid:12779595 fatcat:gih6ejfvkjaz3f5mdgjcyjkmo4

Connecting a Connectome to Behavior: An Ensemble of Neuroanatomical Models of C. elegans Klinotaxis

Eduardo J. Izquierdo, Randall D. Beer, Lyle J. Graham
2013 PLoS Computational Biology  
We identify a minimal klinotaxis circuit by systematically searching the C. elegans connectome for pathways linking chemosensory neurons to neck motor neurons, and prune the resulting network based on  ...  We then use an evolutionary algorithm to find possible values for the unknown electrophsyiological parameters in the network such that the behavioral performance of the entire model is optimized to match  ...  Acknowledgments We are grateful to Colin Allen, Shawn Lockery, and Kathryn McCormick for their feedback on earlier drafts of this paper.  ... 
doi:10.1371/journal.pcbi.1002890 pmid:23408877 pmcid:PMC3567170 fatcat:xsvu3yddnnevxfb55amwj6dsxq

The whole worm: brain–body–environment models of C. elegans

Eduardo J Izquierdo, Randall D Beer
2016 Current Opinion in Neurobiology  
Portegys TE: Training sensory-motor behavior in the connectome of an artificial C. elegans.  ...  The network is trained to produced sinusoidal patterns in the ventral cord motor neurons when a touch sensor is stimulated. 31.  ...  Acknowledgement The preparation of this review was supported in part by NSF grants IIC-1216739 and IIS-1524647.  ... 
doi:10.1016/j.conb.2016.06.005 pmid:27336738 fatcat:dfrk4gnspfg5hnruuol5yc7xgy
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