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The entorhinal map of space
2016
Brain Research
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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
2012
PLoS Computational Biology
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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
2019
Journal of the Royal Society Interface
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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
2020
Frontiers in Neuroinformatics
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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
2021
Frontiers in Neurorobotics
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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
2012
Neural Computation
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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
2020
Biological cybernetics
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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
2009
Human Brain Mapping
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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
2013
Behavioral and Brain Sciences
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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
2018
Scientific Reports
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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!
2013
Behavioral and Brain Sciences
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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]
2021
arXiv
pre-print
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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]
2016
biorxiv/medrxiv
pre-print
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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
2016
IFAC-PapersOnLine
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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
2011
Neuron
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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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