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The entorhinal map of space

Kei M. Igarashi
2016 Brain Research  
Research on spatial mapping in eScholarship provides open access, scholarly publishing services to the University of California and delivers a dynamic research platform to scholars worldwide. the hippocampal-entorhinal  ...  Research on spatial mapping in the hippocampal-entorhinal system provides a fundament for future attempts to decipher some of the neural-circuit codes of the cortex.  ...  Adapted from with permission. (D) Time-resolved power spectrum of averaged local field potentials in the LEC (top) and MEC (bottom) during cue sampling period.  ... 
doi:10.1016/j.brainres.2015.10.041 pmid:26940561 fatcat:tbkg2hi44vdjdarjyt364dd2bu

How Entorhinal Grid Cells May Learn Multiple Spatial Scales from a Dorsoventral Gradient of Cell Response Rates in a Self-organizing Map

Stephen Grossberg, Praveen K. Pilly, Olaf Sporns
2012 PLoS Computational Biology  
A self-organizing map neural model explains how the anatomical gradient of grid spatial scales can be learned by cells that respond more slowly along the gradient to their inputs from stripe cells of multiple  ...  Signals from grid cells of multiple scales combine adaptively to activate place cells that represent much larger spaces than grid cells.  ...  Acknowledgments We would like to thank Himanshu Mhatre for his help in the initial stages of this work. Author Contributions Conceived and designed the experiments: SG PKP.  ... 
doi:10.1371/journal.pcbi.1002648 pmid:23055909 pmcid:PMC3464193 fatcat:h523lkaqvvdsngptcocrdcbfsq

Model genotype–phenotype mappings and the algorithmic structure of evolution

Daniel Nichol, Mark Robertson-Tessi, Alexander R. A. Anderson, Peter Jeavons
2019 Journal of the Royal Society Interface  
Cancers are complex dynamic systems that undergo evolution and selection.  ...  Despite enormous amounts of data on the mutational status of cancers and numerous therapies developed in recent decades to target these mutations, many of these treatments fail after a time due to the  ...  The genotype-phenotype mapping To predict how a population adapts to a given environmental change, it is necessary to understand how genetic alterations arise, how they manifest themselves as phenotypic  ... 
doi:10.1098/rsif.2019.0332 pmid:31690233 pmcid:PMC6893500 fatcat:t523thf6vbbrpaau5igodt7tvu

Developmental Designs and Adult Functions of Cortical Maps in Multiple Modalities: Perception, Attention, Navigation, Numbers, Streaming, Speech, and Cognition

Stephen Grossberg
2020 Frontiers in Neuroinformatics  
A fourth principle concerns how and why all neocortical circuits are organized into layers, and how functionally distinct columns develop in these circuits to enable map development.  ...  Populations of time cells can be used to learn how to adaptively time behaviors for which a time interval of hundreds of milliseconds, or several seconds, must be bridged, as occurs during trace conditioning  ...  FIGURE 15 | 15 The GridPlaceMap model contains self-organizing maps (SOM) whereby stripe cells learn to activate grid cells, and grid cells learn to activate place cells.  ... 
doi:10.3389/fninf.2020.00004 pmid:32116628 pmcid:PMC7016218 fatcat:t2v4fs5jjfh7bptjzppjnk57gu

Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building

Jiru Wang, Rui Yan, Huajin Tang
2021 Frontiers in Neurorobotics  
Experiment results on the robotic platform demonstrate that our proposed entorhinal-hippocampal model can successfully build cognitive maps, reflecting the robot's spatial experience and environmental  ...  However, path integration and vision processing are time-consuming, and the existing model of grid cells is hard to achieve in terms of adaptive multi-scale extension for different environments, resulting  ...  content, and final approval of the version to be published.  ... 
doi:10.3389/fnbot.2020.592057 pmid:33519410 pmcid:PMC7840836 fatcat:4ult5vj42jfedak4jcfss6ayxm

Intrinsic Adaptation in Autonomous Recurrent Neural Networks

Dimitrije Marković, Claudius Gros
2012 Neural Computation  
We discuss these finding in the context of self-organized information processing and critical brain dynamics.  ...  A massively recurrent neural network responds on one side to input stimuli and is autonomously active, on the other side, in the absence of sensory inputs.  ...  We believe that self-organized criticality in biologically inspired autonomous recurrent neural networks will exhibit similar patterns of complex behavior.  ... 
doi:10.1162/neco_a_00232 pmid:22091667 fatcat:h4dgzkzkqvhjde7xs6sb2tcrcq

Cognitive swarming in complex environments with attractor dynamics and oscillatory computing

Joseph D. Monaco, Grace M. Hwang, Kevin M. Schultz, Kechen Zhang
2020 Biological cybernetics  
NeuroSwarms analogizes agents to neurons and swarming groups to recurrent networks.  ...  We present emergent behaviors including phase-organized rings and trajectory sequences that interact with environmental cues and geometry in large, fragmented mazes.  ...  Our demonstrations suggest that bottom-up, self-organized dynamics based on attractor maps and oscillatory computing open a novel path of inquiry into autonomous control.  ... 
doi:10.1007/s00422-020-00823-z pmid:32236692 fatcat:m2dgw27wlrgydcij675abzimom

Altered sleep brain functional connectivity in acutely depressed patients

Samuël J.J. Leistedt, Nathalie Coumans, Martine Dumont, Jean-Pol Lanquart, Cornelis J. Stam, Paul Linkowski
2009 Human Brain Mapping  
V V C 2008 Wiley-Liss, Inc. r Human Brain Mapping 30:2207-2219 (2009) r r Functional Connectivity in Depression r r 2209 r  ...  To test whether disrupting an optimal pattern ["small-world network" (SWN)] of functional brain connectivity underlies MDE, graph theoretical measures were then applied to the resulting synchronization  ...  The SL is the chance that pattern recurrence in time series X coincides with pattern recurrence in time series Y.  ... 
doi:10.1002/hbm.20662 pmid:18937282 fatcat:eux3uonxz5fpzhizksjnhcijbm

Map fragmentation in two- and three-dimensional environments

Homare Yamahachi, May-Britt Moser, Edvard I. Moser
2013 Behavioral and Brain Sciences  
How map fragments are linked, which brain circuits are involved, and whether metric is preserved across fragments are questions that remain to be determined.  ...  complex two-dimensional environments.  ...  ACKNOWLEDGMENTS The work was supported by grants to Kate Jeffery from the Wellcome Trust (GR083540AIA), the European Commission's Seventh Framework Programme (SPACEBRAIN), the Medical Research Council  ... 
doi:10.1017/s0140525x13000605 pmid:24103625 fatcat:yizukbxq7zezhnidhlaobldn6q

Scaling oscillatory platform frequency reveals recurrence of intermittent postural attractor states

Aviroop Dutt-Mazumder, Troy J. Rand, Mukul Mukherjee, Karl M. Newell
2018 Scientific Reports  
The self-organization leads to adaptive synergies that are task dependent across the postural degrees of freedom (dof), defined over multiple scales of space and time 5,6 .  ...  Recurrent map measures were used to reveal whether episodic postural control strategies exist that can be scaled by systematically changing the magnitude of platform motion.  ...  This could be possibly due to the differential self-organization of joint synergies encompassing varying anthropometric scales across individual participants 3,24,51 .  ... 
doi:10.1038/s41598-018-29844-2 pmid:30068921 pmcid:PMC6070516 fatcat:qmkxrfhnljeptdvurulbnveuyq

Grid maps for spaceflight, anyone? They are for free!

Federico Stella, Bailu Si, Emilio Kropff, Alessandro Treves
2013 Behavioral and Brain Sciences  
AbstractWe show that, given extensive exploration of a three-dimensional volume, grid units can form with the approximate periodicity of a face-centered cubic crystal, as the spontaneous product of a self-organizing  ...  process at the single unit level, driven solely by firing rate adaptation.  ...  ACKNOWLEDGMENTS The work was supported by grants to Kate Jeffery from the Wellcome Trust (GR083540AIA), the European Commission's Seventh Framework Programme (SPACEBRAIN), the Medical Research Council  ... 
doi:10.1017/s0140525x13000575 pmid:24103622 fatcat:vpykxkylvnbivdtg3hokx4rkyi

A brain basis of dynamical intelligence for AI and computational neuroscience [article]

Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang
2021 arXiv   pre-print
Moreover, embracing agent-centered paradigms in AI and CN will accelerate our understanding of the complex dynamics and behaviors that build useful world models.  ...  Here, we argue that this opportunity to reassess insights from the brain should stimulate cooperation between AI research and theory-driven computational neuroscience (CN).  ...  In AI, attempts to incorporate timing have reductively mapped stochasticity to dropout 90 , continuous dynamics to spikes or binary activation [91] [92] [93] , and nonlinear recurrence to memory gates  ... 
arXiv:2105.07284v2 fatcat:ble5h45pk5fczn72dwco2m3rkm

Stochasticity in the Genotype-Phenotype Map: Implications for the Robustness and Persistence of Bet-Hedging [article]

Daniel Nichol, Mark Robertson-Tessi, Peter Jeavons, Alexander RA Anderson
2016 biorxiv/medrxiv   pre-print
Molecular switches are ubiquitous in biology, observed in many organisms and naturally map molecular components to decisions (i.e. phenotypes).  ...  The structure of the molecular switch, itself subject to selection, can slow the loss of hedging to ensure a survival mechanism even against environmental catastrophes which are very rare.  ...  This model of the GP map can be considered to be a stochastic, irreversible developmental program in the case of differentiating cancer cells or higher organisms.  ... 
doi:10.1101/042424 fatcat:gqqo5cowbffizj6sfybrnkhtta

Maps for when the living gets tough: Maneuvering through a hostile energy landscape

Thierry D.G.A. Mondeel, Samrina Rehman, Yanfei Zhang, Malkhey Verma, Peter Dürre, Matteo Barberis, Hans V. Westerhoff
2016 IFAC-PapersOnLine  
Amsterdam Cells evolved a remarkable ability to adapt to environmental conditions, or to withstand otherwise detrimental mutations.  ...  Using a Kalman Smoother Ananthasubramaniam, Bharath Charite Univ Circadian clocks permit mammals to adapt to their periodic natural environment.  ... 
doi:10.1016/j.ifacol.2017.03.002 fatcat:tmddfevk7ngd3p4wdpbq7xisb4

Computational Models of Grid Cells

Lisa M. Giocomo, May-Britt Moser, Edvard I. Moser
2011 Neuron  
Grid cells are space-modulated neurons with periodic firing fields.  ...  Since the discovery of grid cells in 2005, a number of models have been proposed to explain the formation of spatially repetitive firing patterns as well as the conversion of these signals to place signals  ...  The self-organization is thought to take place as animals map environments for the first time postnatally.  ... 
doi:10.1016/j.neuron.2011.07.023 pmid:21867877 fatcat:ilkvuadbcbedrobps2fprunnjy
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