Filters








628 Hits in 7.2 sec

Learning and prospective recall of noisy spike pattern episodes

Karl Dockendorf, Narayan Srinivasa
2013 Frontiers in Computational Neuroscience  
Here we present a recurrent spiking neural network (SNN) model that learns noisy pattern sequences through the use of homeostasis and spike-timing dependent plasticity (STDP).  ...  While the model is tolerant to noise, prospective activity, and pattern completion differ in their ability to adapt in the presence of noise.  ...  The results also show that the network is more robust to noise for pattern completion (solid lines) compared to prospective recall (dashed lines). FIGURE 9 | Preplay of an episodic spike pattern.  ... 
doi:10.3389/fncom.2013.00080 pmid:23801961 pmcid:PMC3689221 fatcat:7daemgcnpjcprd3lgjzme45swa

Reversed and forward buffering of behavioral spike sequences enables retrospective and prospective retrieval in hippocampal regions CA3 and CA1

Randal A. Koene, Michael E. Hasselmo
2008 Neural Networks  
We suppose that CA3 encodes episodic memory of both forward and reversed sequences of perforant path spikes representing place input.  ...  Our model of temporal context dependent episodic memory replicates reverse recall in CA1, as recently recorded and published (Foster & Wilson, 2006) , as well as the prospective and retrospective activity  ...  Supported by NIH R01 grants DA16454 (CRCNS), MH60013, MH61492, NSF SBE 0354378 ("CELEST") and NIMH MH71702.  ... 
doi:10.1016/j.neunet.2007.12.029 pmid:18242057 pmcid:PMC2408666 fatcat:bl6oh2dqqzeqvlpv6o322lcjoq

Time as the fourth dimension in the hippocampus

Jean-Paul Banquet, Philippe Gaussier, Nicolas Cuperlier, Vincent Hok, Etienne Save, Bruno Poucet, Mathias Quoy, Sidney I. Wiener
2020 Progress in Neurobiology  
memory, long term memory, and episodic memories (comprised of information about when, what, and where).  ...  These include timing and sequence learning, at scales ranging from mesoscales of seconds to macroscales of minutes, hours, days and beyond, encompassing the classical functions of short term memory, working  ...  We thank two anonymous reviewers, Angelika Gissler, Jean-Philippe and Yann-Eric Banquet for help in figure design and programming, respectively, and France Maloumian for help with figures.  ... 
doi:10.1016/j.pneurobio.2020.101920 pmid:33053416 fatcat:ncrcux2flbet5egodmgakqfr5e

A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation

Florian Fiebig, Anders Lansner
2017 Journal of Neuroscience  
Our simulations using a spiking neural network model of cortex reproduce a range of cognitive memory effects in the classical multi-item WM task of encoding and immediate free recall of word lists.  ...  Reflecting recent findings of fast Hebbian synaptic plasticity in cortex, we test whether a cortical spiking neural network model with such a mechanism can learn a multi-item WM task (word list learning  ...  free recall performance of sequential pairs of learned words) and cued recall (i.e., testing each pattern individually with a 5 s recall time limit after each cue consisting of half-patterns, and a three  ... 
doi:10.1523/jneurosci.1989-16.2017 fatcat:mawfe2jzjffijczopkhb7o7s74

A Spiking Working Memory Model Based on Hebbian Short-Term Potentiation

Florian Fiebig, Anders Lansner
2016 Journal of Neuroscience  
Our simulations using a spiking neural network model of cortex reproduce a range of cognitive memory effects in the classical multi-item WM task of encoding and immediate free recall of word lists.  ...  Reflecting recent findings of fast Hebbian synaptic plasticity in cortex, we test whether a cortical spiking neural network model with such a mechanism can learn a multi-item WM task (word list learning  ...  free recall performance of sequential pairs of learned words) and cued recall (i.e., testing each pattern individually with a 5 s recall time limit after each cue consisting of half-patterns, and a three  ... 
doi:10.1523/jneurosci.1989-16.2016 pmid:28053032 pmcid:PMC5214637 fatcat:6obnsoyxsbbmnbr4bdrudnra6q

Spike-Based Bayesian-Hebbian Learning of Temporal Sequences

Philip J. Tully, Henrik Lindén, Matthias H. Hennig, Anders Lansner, Abigail Morrison
2016 PLoS Computational Biology  
We show that the learning and speed of sequence replay depends on a confluence of biophysically relevant parameters including stimulus duration, level of background noise, ratio of synaptic currents, and  ...  reflecting the temporal nature of these patterns should offer an efficient approach for assembling more complex memories PLOS Computational Biology | (BrainScaleS), MRC Fellowship G0900425, and the EuroSPIN  ...  Acknowledgments We would like to thank Pawel Herman and Bernhard A. Kaplan for helpful discussions.  ... 
doi:10.1371/journal.pcbi.1004954 pmid:27213810 pmcid:PMC4877102 fatcat:2m33z2r7bba4ppirccockixg6y

Cortical dynamics of memory

Joaquin M Fuster
2000 International Journal of Psychophysiology  
Sensory and motor memory networks are made of elementary representations in cell assemblies Ž . of primary sensory and motor cortex phyletic memory .  ...  Higher-order individual memories, e.g. episodic, semantic, conceptual ᎏ are represented in hierarchically organized neuronal networks of the cortex of association. Perceptual Ž .  ...  . network are also in a noisy environment .  ... 
doi:10.1016/s0167-8760(99)00050-1 pmid:10677644 fatcat:ezevk2c47vhyzkce4ke7vldeiq

Rat anterior cingulate cortex recalls features of remote reward locations after disfavoured reinforcements

Ali Mashhoori, Saeedeh Hashemnia, Bruce L McNaughton, David R Euston, Aaron J Gruber
2018 eLife  
Excursions recruited activation of neurons encoding choice and reward, and the likelihood of excursions at a feeder was inversely correlated with feeder preference.  ...  We propose that the multiplexing of position with choice-related information forms a mental model isomorphic with the task space, which can be mentally navigated via excursions to recall multimodal information  ...  The dANN was trained on some trials of the uncorrupted data, and tested on different trials with the noisy data (mean spike shift was 25 ms).  ... 
doi:10.7554/elife.29793 pmid:29664400 pmcid:PMC5931797 fatcat:fpibxmvsinc7vhiqgeyra73g6m

Reactivation of Hippocampal Cell Assemblies: Effects of Behavioral State, Experience, and EEG Dynamics

Hemant S. Kudrimoti, Carol A. Barnes, Bruce L. McNaughton
1999 Journal of Neuroscience  
Each original is also photographed in one exposure and is included in reduced form at the back of the book.  ...  Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer.  ...  Some of the properties of associative networks that are seen in the CA3 network are sparsely coded input, noisy pattern completion and recall, a Hebbian learning rule at the synapses, and recurrent connectivity  ... 
doi:10.1523/jneurosci.19-10-04090.1999 pmid:10234037 fatcat:ekorhllmzfexfe2jfhvxggxxa4

Online Learning and Memory of Neural Trajectory Replays for Prefrontal Persistent and Dynamic Representations in the Irregular Asynchronous State

Matthieu X. B. Sarazin, Julie Victor, David Medernach, Jérémie Naudé, Bruno Delord
2021 Frontiers in Neural Circuits  
Here, we show that a recurrent model of local PFC circuitry endowed with realistic synaptic spike timing-dependent plasticity and scaling processes can learn, memorize and replay large-size neural trajectories  ...  Computational models have separately assessed learning and replay of neural trajectories, often using unrealistic learning rules or decoupling simulations for learning from replay.  ...  INTRODUCTION As when a few introductory notes recall a melody, in the immense space of known melodies, cerebral networks are able to memorize and replay complex temporal patterns in a flexible way.  ... 
doi:10.3389/fncir.2021.648538 pmid:34305535 pmcid:PMC8298038 fatcat:hvkckx6kwrc7fgajmyxtuxm5gi

Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning

György Buzsáki
2015 Hippocampus  
The spike content of SPW-Rs is temporally and spatially coordinated by a consortium of interneurons to replay fragments of waking neuronal sequences in a compressed format.  ...  Sharp wave ripples (SPW-Rs) represent the most synchronous population pattern in the mammalian brain. Their excitatory output affects a wide area of the cortex and several subcortical nuclei.  ...  Acknowledgments The author thanks John Lisman for reading and providing constructive feedback on the entire manuscript, Jan Born,  ... 
doi:10.1002/hipo.22488 pmid:26135716 pmcid:PMC4648295 fatcat:kmeessu4pbc27lungr5ynewbf4

Dark Control: Towards a Unified Account of Default Mode Function by Markov Decision Processes [article]

Elvis Dohmatob, Guillaume Dumas, Danilo Bzdok
2017 bioRxiv   pre-print
DMN function is recast in mathematical terms of control theory and reinforcement learning based on Markov decision processes.  ...  The present paper proposes a process model that tries to explain how the DMN may implement continuous evaluation and prediction of the environment to guide behavior.  ...  Based on spike recordings of hippocampal neuronal populations, complex spiking patterns can be followed across extended periods including their modification of input-free self-generated patterns after  ... 
doi:10.1101/148890 fatcat:c3bpgvsrhfec5ohihs25i34j2e

Neuroengineering Models of Brain Disease

Leif H. Finkel
2000 Annual Review of Biomedical Engineering  
In particular, we focus on attractor-based network dynamics and how they arise from neural architectures, on mechanisms for linking sequences of attractor states and their role in cognition, and on the  ...  We consider models of Alzheimer's disease, Parkinson's disease, and schizophrenia. Each of these diseases involves a disorder of neuromodulation coupled with underlying neuronal pathology.  ...  and recalling patterns of activity.  ... 
doi:10.1146/annurev.bioeng.2.1.577 pmid:11701524 fatcat:jsaxa34gtffijlb3nsqbexxqh4

Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems

Ichiro Tsuda
2001 Behavioral and Brain Sciences  
episodic memory (based on empirical neuroimaging studies and investigations of brain-damaged amnesic patients).  ...  Abstract: This commentary provides a critique of Tsuda's target article, focusing on the hippocampus and episodic long-term memory.  ...  We also thank Michael Breakspear and Karl Friston for kindly answering a basic question we asked them on the symmetry they used in their commentary, and Jaroslav Stark, for informing us of many related  ... 
doi:10.1017/s0140525x01000097 fatcat:d2mpwqliqjdetnzhwbktezj4ka

The puzzle of chaotic neurodynamics

Roman Borisyuk
2001 Behavioral and Brain Sciences  
episodic memory (based on empirical neuroimaging studies and investigations of brain-damaged amnesic patients).  ...  Abstract: This commentary provides a critique of Tsuda's target article, focusing on the hippocampus and episodic long-term memory.  ...  We also thank Michael Breakspear and Karl Friston for kindly answering a basic question we asked them on the symmetry they used in their commentary, and Jaroslav Stark, for informing us of many related  ... 
doi:10.1017/s0140525x01240096 fatcat:gxbhb45wf5gmdjjd5usvs6ue4y
« Previous Showing results 1 — 15 out of 628 results