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Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly

David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin
1999 Neural Information Processing Systems  
We investigate the behavior of a Hebbian cell assembly of spiking neurons formed via a temporal synaptic learning curve. This learning function is based on recent experimental findings .  ...  The latter implies spontaneous division of the Hebbian cell assembly into groups of cells that fire in a cyclic manner.  ...  Distributed synchrony is a mode in which the Hebbian cell assembly breaks into an n-cycle.  ... 
dblp:conf/nips/HornLMR99 fatcat:ul3z2v4xzbaz7l7je5st3ddep4

Distributed synchrony in a cell assembly of spiking neurons

Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin
2001 Neural Networks  
One possible mode of activity is distributed synchrony, implying spontaneous division of the Hebbian cell assembly into groups, or subassemblies, of cells that ®re in a cyclic manner.  ...  We investigate the formation of a Hebbian cell assembly of spiking neurons, using a temporal synaptic learning curve that is based on recent experimental ®ndings.  ...  Introduction Consider the process of formation of a Hebbian cell assembly.  ... 
doi:10.1016/s0893-6080(01)00044-2 pmid:11665773 fatcat:ddyz4zuq5vhsbjsvgl3fr4ohhy

A Model of Stimulus-Specific Neural Assemblies in the Insect Antennal Lobe

Dominique Martinez, Noelia Montejo, Karl J. Friston
2008 PLoS Computational Biology  
Because synaptic noise is believed to be the dominant factor that limits neuronal reliability, we consider a computational model of the antennal lobe in which a population of oscillatory neurons interact  ...  Inhibitory connections are set by Hebbian learning and selectively activated by stimulus patterns to form a spiking associative memory whose storage capacity is comparable to that of classical binary-coded  ...  The relative number of received GABA A and GABA B inputs regulates synchrony and determines whether particular neurons engage in neural assemblies.  ... 
doi:10.1371/journal.pcbi.1000139 pmid:18795147 pmcid:PMC2536510 fatcat:aswgpxv7drasbk53ecjtq3dnuu

Cortical dynamics revisited

Wolf Singer
2013 Trends in Cognitive Sciences  
These new insights justify considering the brain as a complex, selforganised system with nonlinear dynamics in which principles of distributed, parallel processing coexist with serial operations within  ...  The observed dynamics suggest that cortical networks are capable of providing an extremely high-dimensional state space in which a large amount of evolutionary and ontogenetically acquired information  ...  Acknowledgements The author is indebted to his colleagues in the department for discussions and constructive critiques.  ... 
doi:10.1016/j.tics.2013.09.006 pmid:24139950 fatcat:ovjibumf7vbtnie6brhaxxczxy

Spike-Timing-Based Computation in Sound Localization

Dan F. M. Goodman, Romain Brette, Karl J. Friston
2010 PLoS Computational Biology  
Location-specific synchrony patterns would then result in the activation of location-specific assemblies of postsynaptic neurons.  ...  We designed a spiking neuron model which exploited this principle to locate a variety of sound sources in a virtual acoustic environment using measured human head-related transfer functions.  ...  We found that the synchrony receptive field of a pair of monaural neurons, defined as the set of stimuli that induce synchronous spiking in these neurons, defined a set of source locations (more precisely  ... 
doi:10.1371/journal.pcbi.1000993 pmid:21085681 pmcid:PMC2978676 fatcat:swipkxbr3fhxxpn6hl65ceamce

Page 7977 of The Journal of Neuroscience Vol. 29, Issue 32 [page]

2008 The Journal of Neuroscience  
The nonperi- odic synchronization of simulated cells may represent a natural and unavoidable consequence of spontaneous cell interactions in numerous regions of the brain.  ...  Neurons are arranged in space according to a multidimensional scaling with high goodness-of-fit (stress values, <0.2).  ... 

Distributed processing and temporal codes in neuronal networks

Wolf Singer
2009 Cognitive Neurodynamics  
They should indicate (1) the presence of the feature to which they are tuned and (2) with which other neurons (specific target cells or members of a coherent assembly) they are communicating.  ...  The neuronal correlates of cognitive and executive processes often appear to consist of the coordinated activity of large assemblies of widely distributed neurons.  ...  chunking neurons but also by distributed assemblies of cells (Singer 1999; Tsunoda et al. 2001) .  ... 
doi:10.1007/s11571-009-9087-z pmid:19562517 pmcid:PMC2727167 fatcat:lepkhbm6s5ewpgutfndqurq4q4

Realistic spiking neural network: Non-synaptic mechanisms improve convergence in cell assembly

Damien Depannemaecker, Luiz Eduardo Canton Santos, Antônio Márcio Rodrigues, Carla Alessandra Scorza, Fulvio Alexandre Scorza, Antônio-Carlos Guimarães de Almeida
2019 Neural Networks  
In this work, we proposed simple rules for learning inspired by recent findings in machine learning adapted to a realistic spiking neural network.  ...  We show that the inclusion of non-synaptic interaction mechanisms improves cell assembly convergence.  ...  Acknowledgments This work was supported by the Brazilian agencies Fundação de Amparo à  ... 
doi:10.1016/j.neunet.2019.09.038 pmid:31841876 fatcat:gtwwsr2rgjggxemwgjho56hb6u

Associative memory models: from the cell-assembly theory to biophysically detailed cortex simulations

Anders Lansner
2009 Trends in Neurosciences  
The second half of the past century saw the emergence of a theory of cortical associative memory function originating in Donald Hebb's hypotheses on activity-dependent synaptic plasticity and cell-assembly  ...  Here, we outline a development that might eventually lead to a neurobiologically grounded theory of cortical associative memory.  ...  Basics of cell assemblies and attractor-memory networks The fundamental idea of formation and dynamics of cell assemblies proposed by Hebb relies on the existence of Hebbian synapses as a substrate for  ... 
doi:10.1016/j.tins.2008.12.002 pmid:19187979 fatcat:enfzjsbu4ndgrejk6o3c7m3tui

Interaction Between the Spatio-Temporal Learning Rule (Non Hebbian) and Hebbian in Single Cells: A Cellular Mechanism of Reinforcement Learning [chapter]

Minoru Tsukada
2008 Reinforcement Learning  
In the spatiotemporal learning rule, synaptic weight changes are determined by the "synchrony" level of input neurons and its temporal summation (bottom-up) whereas in the Hebbian rule, the soma fires  ...  Homo-synaptic and hetero-synaptic associative LTP can be induced under conditions of inhibited BAPs, even in the absence of a cell spike.  ...  Interaction Between the Spatio-Temporal Learning Rule (Non Hebbian) and Hebbian in Single Cells: A Cellular Mechanism of Reinforcement Learning, Reinforcement Learning, Cornelius Weber, Mark Elshaw and  ... 
doi:10.5772/5277 fatcat:7nta6ducajh3hn53hfovqgdt5u

Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder

James Humble, Kazuhiro Hiratsuka, Haruo Kasai, Taro Toyoizumi
2019 Frontiers in Computational Neuroscience  
It is often assumed that Hebbian synaptic plasticity forms a cell assembly, a mutually interacting group of neurons that encodes memory.  ...  However, in recurrently connected networks with pure Hebbian plasticity, cell assemblies typically diverge or fade under ongoing changes of synaptic strength.  ...  the circuit to stably retain memory patterns in the form of cell assemblies with a bi-stable mean intra-cell assembly spine volume.  ... 
doi:10.3389/fncom.2019.00038 pmid:31263407 pmcid:PMC6585147 fatcat:wuqjbyfmg5bvbmnd5xu6nfwcr4

Memory replay in balanced recurrent networks

Nikolay Chenkov, Henning Sprekeler, Richard Kempter, Boris S. Gutkin
2017 PLoS Computational Biology  
To investigate this idea, we connect sequences of assemblies in randomly connected spiking neuronal networks with a balance of excitation and inhibition.  ...  Using both numerical simulations of spiking neural networks and an analytic approach, we provide a biologically plausible model for understanding how minute synaptic changes in a recurrent network can  ...  The dynamics of the conductances G E i and G I i of a postsynaptic cell i are determined by the spiking of the excitatory and inhibitory presynaptic neurons.  ... 
doi:10.1371/journal.pcbi.1005359 pmid:28135266 pmcid:PMC5305273 fatcat:3si6jf67afagpa2gcjgcoyuelu

Intrinsic spine dynamics are critical for recurrent network learning in models with and without autism spectrum disorder [article]

James Humble, Kazuhiro Hiratsuka, Haruo Kasai, Taro Toyoizumi
2019 bioRxiv   pre-print
It is often assumed that Hebbian synaptic plasticity forms a cell assembly, a mutually interacting group of neurons that encodes memory.  ...  However, in recurrently connected networks with pure Hebbian plasticity, cell assemblies typically diverge or fade under ongoing changes of synaptic strength.  ...  the circuit to stably retain memory patterns in the form of cell assemblies with a bi-stable mean intra-cell assembly spine volume.  ... 
doi:10.1101/525980 fatcat:je5g2x3sgzajvpckzsdjb3zeaa

Noise-tolerant stimulus discrimination by synchronization with depressing synapses

Tomoki Fukai, Seinichi Kanemura
2001 Biological cybernetics  
Some synapses between cortical pyramidal neurons exhibit a rapid depression of excitatory postsynaptic potentials for successive presynaptic spikes.  ...  In this paper, we study the dynamical eects of depressing synapses on stimulus-induced transient synchronization in a simple network of inhibitory interneurons and excitatory neurons, assuming that the  ...  This means that the number of excitatory neurons assembled by an interneuron should not be very large: numerical simulations suggested that at most N % a few hundred in order to obtain T f values of about  ... 
doi:10.1007/pl00007998 pmid:11508774 fatcat:37fy6ebrp5cltokqgoxgztnbrq

Why do we sleep?11Published on the World Wide Web on 7 November 2000

Terrence J. Sejnowski, Alain Destexhe
2000 Brain Research  
Slow-wave sleep consists in slowly recurring waves that are associated with a large-scale spatio-temporal synchrony across neocortex.  ...  Slow-wave sleep would thus begin with spindle oscillations that open molecular gates to plasticity, then proceed by iteratively 'recalling' and 'storing' information primed in neural assemblies.  ...  A second way to select a neural assembly, a top down approach, is appropriate for We are grateful to Yves Fregnac for helpful comments the highest levels of cortical representation that receive on this  ... 
doi:10.1016/s0006-8993(00)03007-9 pmid:11119697 fatcat:xd55iljndbhzrotoafxe6efdzi
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