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Regarding the temporal requirements of a hierarchical Willshaw network

João Sacramento, Francisco Burnay, Andreas Wichert
2012 Neural Networks  
In a recent communication, Sacramento and Wichert (2011) proposed a hierarchical retrieval prescription for Willshaw-type associative networks.  ...  Through simulation it was shown that one could make use of low resolution descriptor patterns to decrease the total time requirements of recalling a learnt association.  ...  Acknowledgments The authors are indebted to an anonymous reviewer which contributed with many detailed comments, including an improved asymptotic bound f (n) on a, and to Ângelo Cardoso and Francisco S  ... 
doi:10.1016/j.neunet.2011.07.005 pmid:21820274 fatcat:tmji43pmszhithxclh3ynw2tzq

Models of distributed associative memory networks in the brain

Friedrich T. Sommer, Thomas Wennekers
2003 Theory in biosciences  
We describe cell assembly models that integrate more neurobiological constraints and review results from simulations of a simple nonlocal associative network formed by a reciprocal topographic projection  ...  Impacts of nonlocal associative projections in the brain are discussed with respect to the functionality they can explain.  ...  We further analyzed temporal properties of recall in a simulation network as the one described in section 3.2 (Sommer and Wennekers, 2000, 2001a) .  ... 
doi:10.1007/s12064-003-0037-8 fatcat:m2qkjyphjbeehcaoh3a2fpnani

Models of Distributed Associative Memory Networks in the Brain

2003 Theory in biosciences  
We describe cell assembly models that integrate more neurobiological constraints and review results from simulations of a simple nonlocal associative network formed by a reciprocal topographic projection  ...  Impacts of nonlocal associative projections in the brain are discussed with respect to the functionality they can explain.  ...  We further analyzed temporal properties of recall in a simulation network as the one described in section 3.2 (Sommer and Wennekers, 2000, 2001a) .  ... 
doi:10.1078/1431-7613-00074 fatcat:hwdglpfh7fbntjquccoslocgcu

Learning Perceptually Salient Visual Parameters Using Spatiotemporal Smoothness Constraints

James V. Stone
1996 Neural Computation  
A model is presented for unsupervised learning of low level vision tasks, such as the extraction of surface depth.  ...  The presence of temporal discontinuities in disparity does not prevent learning or generalization to previously unseen image sequences.  ...  Thanks to the anonymous referees, one of whom suggested the idea of an information-theoretic interpretation. This research was supported by a Joint Council Initiative grant awarded to J. Stone, T.  ... 
doi:10.1162/neco.1996.8.7.1463 pmid:8823943 fatcat:7p3hzrvk65amrnyzyx67jvgjg4

Perspectives for computational modeling of cell replacement for neurological disorders

James B. Aimone, Jason P. Weick
2013 Frontiers in Computational Neuroscience  
Mathematical modeling of anatomically-constrained neural networks has provided significant insights regarding the response of networks to neurological disorders or injury.  ...  A logical extension of these models is to incorporate treatment regimens to investigate network responses to intervention.  ...  Due to the hierarchical nature of the cerebral cortex, its development and reorganization following injury have been significant targets for modeling studies (Willshaw and von der Malsburg, 1976; Armentrout  ... 
doi:10.3389/fncom.2013.00150 pmid:24223548 pmcid:PMC3818471 fatcat:p54ytbbtafdijk4krdahl3vszq

On the dynamics of cortical development: synchrony and synaptic self-organization

James Joseph Wright, Paul David Bourke
2013 Frontiers in Computational Neuroscience  
The model is provisionally extended to hierarchical interactions of the visual cortex with higher centers, and a general principle for cortical processing of spatio-temporal images is sketched.  ...  cortex onto each macrocolumn in a form analogous to the projection of a Euclidean plane onto a Möbius strip.  ...  Thus, the spatio-temporal model can be regarded as a consequence of the present model.  ... 
doi:10.3389/fncom.2013.00004 pmid:23596410 pmcid:PMC3573321 fatcat:fgtn5vm5jzhhvaxieaclov4chy

Multiple Cognitive Abilities from a Single Cortical Algorithm

Suzanna E. Forwood, Rosemary A. Cowell, Timothy J. Bussey, Lisa M. Saksida
2012 Journal of Cognitive Neuroscience  
■ One strong claim made by the representational-hierarchical account of cortical function in the ventral visual stream ( VVS) is that the VVS is a functional continuum: The basic computations carried out  ...  Here, we use a single-layer computational model with a fixed learning mechanism and set of parameters to simulate a variety of cognitive phenomena from different parts of the functional continuum of the  ...  At the moment, there is not a clear consensus in the literature regarding the role of teaching signals in category learning.  ... 
doi:10.1162/jocn_a_00250 pmid:22624608 fatcat:yjuroy5vvvfefjan6nnocrezme

A Quantitative Theory of Neural Computation

Leslie G. Valiant
2006 Biological cybernetics  
The first of these findings is that in human medial temporal lobe there exist neurons that correspond to identifiable concepts, such as a particular actress.  ...  Second, for the locust olfactory system estimates of the four parameters of neuron numbers, synapse numbers, synapse strengths, and the numbers of neurons that represent an odor are now available.  ...  This work was supported in part by grants from the National Science Foundation NSF-CCR-03-10882, NSF-CCF-04-32037, and NSF-CCF-04-27129.  ... 
doi:10.1007/s00422-006-0079-3 pmid:16763793 fatcat:jiipkj3rrve2lovwzxhgke5eaq

The role of temporo-parietal junction (TPJ) in global Gestalt perception

Elisabeth Huberle, Hans-Otto Karnath
2011 Brain Structure and Function  
The comparison of intact versus disturbed perception of the global Gestalt revealed a network of cortical areas including the temporo-parietal junction (TPJ), anterior cingulate cortex and the precuneus  ...  We investigated the neural correlates underlying the global Gestalt perception of hierarchically organized stimuli that allowed parametrical degrading of the object at the global level.  ...  Acknowledgments The authors would like to thank Prof. W. Grodd and the staff of the Section Experimental Research of the CNS located at the University of Tübingen for their support.  ... 
doi:10.1007/s00429-011-0369-y pmid:22193335 fatcat:o4ilbyhq35dvpj64onvsxnrs4u

The Self-Organizing Maps: Background, Theories, Extensions and Applications [chapter]

Hujun Yin
2008 Studies in Computational Intelligence  
Yin to serve as an updated, extended tutorial, a review, as well as a reference for advanced topics in the subject.  ...  Background Kohonen's self-organizing map (SOM) is an abstract mathematical model of topographic mapping from the (visual) sensors to the cerebral cortex.  ...  neural system, respectively (or can also be regarded as the outputs of the two neurons).  ... 
doi:10.1007/978-3-540-78293-3_17 fatcat:5fxzbyyoofd2ppfrnncyqfji6m

50 years since the Marr, Ito, and Albus models of the cerebellum [article]

Mitsuo Kawato, Shogo Ohmae, Huu Hoang, Terry Sanger
2020 arXiv   pre-print
frameworks of the cerebellum.  ...  While acknowledging that the three models have greatly advanced our understanding of cerebellar control mechanisms in eye movements and classical conditioning, we propose a new direction for computational  ...  Keisuke Toyama, Tomoo Hirano, Soichi Nagao, and Kazuo Kitamura for their comments on an earlier version of the manuscript.  ... 
arXiv:2003.05647v4 fatcat:wn67b3itgvgofadhsa3qwq2vuq

Toward a Universal Cortical Algorithm: Examining Hierarchical Temporal Memory in Light of Frontal Cortical Function [article]

Michael R. Ferrier
2014 arXiv   pre-print
Hierarchical Temporal Memory (HTM) is a family of learning algorithms and corresponding theories of cortical function that embodies these principles.  ...  Finally, there is a discussion of how HTM can contribute to the understanding of frontal cortical function, and of what the requirements of frontal cortical function mean for the future development of  ...  A Leabra network typically employs multiple regions of model units connected bidirectionally and hierarchically.  ... 
arXiv:1411.4702v1 fatcat:ayu7e5imj5bghmjwvvjynarepa

High-resolution multiple-unit EEG in cat auditory cortex reveals large spatio-temporal stochastic interactions

Thomas Wennekers, Nihat Ay, Peter Andras
2007 Biosystems (Amsterdam. Print)  
This suggests an organised cooperation in the underlying neural networks which cause the data and may reflect generic intrinsic computational capabilities of the cortex.  ...  It has been argued that information processing in the cortex is optimised with regard to certain information theoretic principles.  ...  Part of this work has been funded by the Engineering and Physical Sciences Research Council (EPSRC) under grant EP/C010841/1.  ... 
doi:10.1016/j.biosystems.2006.04.017 pmid:17188422 fatcat:wdwrok42bvgxzdllzf7nnmstym


Oliver G. Selfridge, Richard S. Sutton, Charles W. Anderson
1989 Evolution, Learning and Cognition  
The generality of this approach may be limited by the large number of units required.  ...  It was presented at what is regarded as the opening guns of AI, the Western Joint Computer Conference session in 1954.  ...  into the functioning of a trained network.  ... 
doi:10.1142/9789814434102_0015 fatcat:emwcvnf6szczlh7ns4rhnykfte

The CRISP theory of hippocampal function in episodic memory

Sen Cheng
2013 Frontiers in Neural Circuits  
Over the past four decades, a "standard framework" has emerged to explain the neural mechanisms of episodic memory storage.  ...  Hence, CRISP does not require plasticity in the recurrent CA3 synapses during the storage process.  ...  This work was supported by a grant (SFB 874, project B2) from the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) and a grant from the Stiftung Mercator.  ... 
doi:10.3389/fncir.2013.00088 pmid:23653597 pmcid:PMC3644677 fatcat:i4gckuxtwzcytlq7kbhfkoaloe
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