Literature DB >> 27382147

Inferring cortical function in the mouse visual system through large-scale systems neuroscience.

Michael Hawrylycz1, Costas Anastassiou2, Anton Arkhipov2, Jim Berg2, Michael Buice2, Nicholas Cain2, Nathan W Gouwens2, Sergey Gratiy2, Ramakrishnan Iyer2, Jung Hoon Lee2, Stefan Mihalas2, Catalin Mitelut2, Shawn Olsen2, R Clay Reid2, Corinne Teeter2, Saskia de Vries2, Jack Waters2, Hongkui Zeng2, Christof Koch1.   

Abstract

The scientific mission of the Project MindScope is to understand neocortex, the part of the mammalian brain that gives rise to perception, memory, intelligence, and consciousness. We seek to quantitatively evaluate the hypothesis that neocortex is a relatively homogeneous tissue, with smaller functional modules that perform a common computational function replicated across regions. We here focus on the mouse as a mammalian model organism with genetics, physiology, and behavior that can be readily studied and manipulated in the laboratory. We seek to describe the operation of cortical circuitry at the computational level by comprehensively cataloging and characterizing its cellular building blocks along with their dynamics and their cell type-specific connectivities. The project is also building large-scale experimental platforms (i.e., brain observatories) to record the activity of large populations of cortical neurons in behaving mice subject to visual stimuli. A primary goal is to understand the series of operations from visual input in the retina to behavior by observing and modeling the physical transformations of signals in the corticothalamic system. We here focus on the contribution that computer modeling and theory make to this long-term effort.

Entities:  

Keywords:  computation; neocortex; neural coding; simulation; visual system

Mesh:

Year:  2016        PMID: 27382147      PMCID: PMC4941493          DOI: 10.1073/pnas.1512901113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

1.  A simple white noise analysis of neuronal light responses.

Authors:  E J Chichilnisky
Journal:  Network       Date:  2001-05       Impact factor: 1.273

2.  Electrical interactions via the extracellular potential near cell bodies.

Authors:  G R Holt; C Koch
Journal:  J Comput Neurosci       Date:  1999 Mar-Apr       Impact factor: 1.621

3.  A simple and stable numerical solution for the population density equation.

Authors:  M de Kamps
Journal:  Neural Comput       Date:  2003-09       Impact factor: 2.026

4.  Robust object recognition with cortex-like mechanisms.

Authors:  Thomas Serre; Lior Wolf; Stanley Bileschi; Maximilian Riesenhuber; Tomaso Poggio
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2007-03       Impact factor: 6.226

5.  The fractions of short- and long-range connections in the visual cortex.

Authors:  Armen Stepanyants; Luis M Martinez; Alex S Ferecskó; Zoltán F Kisvárday
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-12       Impact factor: 11.205

6.  A biophysically detailed model of neocortical local field potentials predicts the critical role of active membrane currents.

Authors:  Michael W Reimann; Costas A Anastassiou; Rodrigo Perin; Sean L Hill; Henry Markram; Christof Koch
Journal:  Neuron       Date:  2013-07-24       Impact factor: 17.173

7.  The cell-type specific cortical microcircuit: relating structure and activity in a full-scale spiking network model.

Authors:  Tobias C Potjans; Markus Diesmann
Journal:  Cereb Cortex       Date:  2012-12-02       Impact factor: 5.357

8.  Driving fast-spiking cells induces gamma rhythm and controls sensory responses.

Authors:  Jessica A Cardin; Marie Carlén; Konstantinos Meletis; Ulf Knoblich; Feng Zhang; Karl Deisseroth; Li-Huei Tsai; Christopher I Moore
Journal:  Nature       Date:  2009-04-26       Impact factor: 49.962

9.  Automated High-Throughput Characterization of Single Neurons by Means of Simplified Spiking Models.

Authors:  Christian Pozzorini; Skander Mensi; Olivier Hagens; Richard Naud; Christof Koch; Wulfram Gerstner
Journal:  PLoS Comput Biol       Date:  2015-06-17       Impact factor: 4.475

10.  The human brain in numbers: a linearly scaled-up primate brain.

Authors:  Suzana Herculano-Houzel
Journal:  Front Hum Neurosci       Date:  2009-11-09       Impact factor: 3.169

View more
  31 in total

1.  Robotic navigation to subcortical neural tissue for intracellular electrophysiology in vivo.

Authors:  W A Stoy; I Kolb; G L Holst; Y Liew; A Pala; B Yang; E S Boyden; G B Stanley; C R Forest
Journal:  J Neurophysiol       Date:  2017-06-07       Impact factor: 2.714

2.  A better way to crack the brain.

Authors:  Zachary F Mainen; Michael Häusser; Alexandre Pouget
Journal:  Nature       Date:  2016-11-10       Impact factor: 49.962

3.  Visual physiology of the layer 4 cortical circuit in silico.

Authors:  Anton Arkhipov; Nathan W Gouwens; Yazan N Billeh; Sergey Gratiy; Ramakrishnan Iyer; Ziqiang Wei; Zihao Xu; Reza Abbasi-Asl; Jim Berg; Michael Buice; Nicholas Cain; Nuno da Costa; Saskia de Vries; Daniel Denman; Severine Durand; David Feng; Tim Jarsky; Jérôme Lecoq; Brian Lee; Lu Li; Stefan Mihalas; Gabriel K Ocker; Shawn R Olsen; R Clay Reid; Gilberto Soler-Llavina; Staci A Sorensen; Quanxin Wang; Jack Waters; Massimo Scanziani; Christof Koch
Journal:  PLoS Comput Biol       Date:  2018-11-12       Impact factor: 4.475

Review 4.  Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli.

Authors:  Elizabeth DuPre; Michael Hanke; Jean-Baptiste Poline
Journal:  Neuroimage       Date:  2019-11-05       Impact factor: 6.556

5.  Drawing causal inference from Big Data.

Authors:  Richard M Shiffrin
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-05       Impact factor: 11.205

6.  T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells.

Authors:  Hermann Cuntz; Peter Jedlicka; Marcel Beining; Lucas Alberto Mongiat; Stephan Wolfgang Schwarzacher
Journal:  Elife       Date:  2017-11-22       Impact factor: 8.140

7.  Aberration-free multi-plane imaging of neural activity from the mammalian brain using a fast-switching liquid crystal spatial light modulator.

Authors:  Rui Liu; Neil Ball; James Brockill; Leonard Kuan; Daniel Millman; Cassandra White; Arielle Leon; Derric Williams; Shig Nishiwaki; Saskia de Vries; Josh Larkin; David Sullivan; Cliff Slaughterbeck; Colin Farrell; Peter Saggau
Journal:  Biomed Opt Express       Date:  2019-09-12       Impact factor: 3.732

8.  Nonlinear Processing of Shape Information in Rat Lateral Extrastriate Cortex.

Authors:  Giulio Matteucci; Rosilari Bellacosa Marotti; Margherita Riggi; Federica B Rosselli; Davide Zoccolan
Journal:  J Neurosci       Date:  2019-01-07       Impact factor: 6.167

9.  Simulating Large-scale Models of Brain Neuronal Circuits using Google Cloud Platform.

Authors:  Subhashini Sivagnanam; Wyatt Gorman; Donald Doherty; Samuel A Neymotin; Stephan Fang; Hermine Hovhannisyan; William W Lytton; Salvador Dura-Bernal
Journal:  PEARC20 (2020)       Date:  2020-07

10.  An Anatomically Constrained Model of V1 Simple Cells Predicts the Coexistence of Push-Pull and Broad Inhibition.

Authors:  M Morgan Taylor; Diego Contreras; Alain Destexhe; Yves Frégnac; Jan Antolik
Journal:  J Neurosci       Date:  2021-07-28       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.