About: Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components

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scientific article published on 24 March 2009

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rdf:type	Item
description	videnskabelig artikel (da) article científic (ca) articolo scientifico (it) artigo científico (pt) bilimsel makale (tr) vedecký článok (sk) vetenskaplig artikel (sv) vědecký článek (cs) wetenschappelijk artikel (nl) wissenschaftlicher Artikel (de) научни чланак (sr) article scientifique (fr) artículu científicu espublizáu en 2009 (ast) наукова стаття, опублікована в березні 2009 (uk) scientific article published on 24 March 2009 (en) مقالة علمية نشرت في 24 مارس 2009 (ar) գիտական հոդված հրատարակված 2009 թվականի մարտի 24-ին (hy)
publication date	wds:Q37151906-5F89EEC2-A809-4027-A242-AE27873D2B06
publication date	2009-03-24 00:00:00Z (xsd:dateTime)
cites work	wds:Q37151906-276145D0-25A2-40DA-8ECF-A5FE63A0A2A4 wds:Q37151906-3D34BD4B-60BD-4F70-A876-0BC0F36808A7 wds:Q37151906-62C0E040-4EE7-45FB-BCF3-EACB9C8E5842 wds:Q37151906-72CAB385-FDF1-49E7-A16B-BD18CB9E505C wds:Q37151906-7611BB8A-E680-43B2-9CA9-2231CDCC1726 wds:Q37151906-78F3A8EB-B787-4585-B4C8-90D7752ECB88 wds:Q37151906-9873DC50-930D-40E3-9B17-643BD195E3BD wds:Q37151906-A6EBAD02-AC68-48B2-8FE0-7B526CF5AFB4 wds:Q37151906-B3A20833-88DB-4DE8-971F-CC01865C95D0 wds:Q37151906-BDC594FF-09CE-47AB-AFED-D090BDCB8E69 wds:Q37151906-D4ED96F6-427F-4883-8028-31C496BE4922 wds:Q37151906-DCCDC344-C662-419F-8142-1F12C06FB636
cites work	Representation of cochlea within primary auditory cortex in the cat The NEURON simulation environment How do functional maps in primary visual cortex vary with eccentricity? A systematic map of direction preference in primary visual cortex. Functional imaging with cellular resolution reveals precise micro-architecture in visual cortex. Orientation selectivity, preference, and continuity in monkey striate cortex A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputs. Spatial coding of position and orientation in primary visual cortex. Emergence of simple-cell receptive field properties by learning a sparse code for natural images Topographic organization of nerve fields Interoperability of neuroscience modeling software: current status and future directions Mapping visual cortex in monkeys and humans using surface-based atlases.
rdfs:label	Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (en) Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (nl) Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (ast)
skos:prefLabel	Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (en) Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (nl) Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (ast)
name	Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (en) Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (nl) Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (ast)
author	wds:Q37151906-66EB09A6-00E0-4FFD-AD8D-2A3ED23DB72D
author	James A. Bednar
title	wds:Q37151906-8E2F0C03-9242-4360-A2E4-A95F0C88BEC8
title	Topographica: Building and Analyzing Map-Level Simulations from Python, C/C++, MATLAB, NEST, or NEURON Components (en)
page(s)	wds:Q37151906-6B7F7548-CBE7-4A02-BCD5-9A0D85C3AF43
page(s)	8
instance of	wds:Q37151906-23CB3CDB-2D69-4EC9-80B9-5DE8612A191A
instance of	scholarly article
PubMed ID	wds:Q37151906-4CB40032-C7C0-4CC1-B60B-6D5A06FA8B72
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/19352443
PubMed ID	19352443
DBLP publication ID	wds:Q37151906-C5950B96-C447-48E8-AF8C-22CB49A956CC
DBLP publication ID	https://dblp.org/rec/journals/fini/Bednar09
DBLP publication ID	journals/fini/Bednar09
published in	wds:Q37151906-20895A0D-A604-4392-B002-AA543547BB8F
published in	Frontiers in Neuroinformatics
volume	wds:Q37151906-565D9DEB-5D5E-445B-8CA5-B40C89527B10
volume	3
DOI	wds:Q37151906-DE2DF05E-4E29-4987-962E-B862E24BFD5B
DOI	http://dx.doi.org/10.3389/NEURO.11.008.2009
DOI	10.3389/NEURO.11.008.2009
ResearchGate publication ID	wds:Q37151906-12CA0759-D8B3-4D56-BF14-26A462E63FBC
ResearchGate publication ID	24263356
PMCID	wds:Q37151906-26879D41-E0D4-4C08-B25F-C30839D7634F
PMCID	2666198
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q37151906
is cites work of	Modeling the Cerebellar Microcircuit: New Strategies for a Long-Standing Issue Nipype: a flexible, lightweight and extensible neuroimaging data processing framework in python An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook Trends in programming languages for neuroscience simulations Current practice in software development for computational neuroscience and how to improve it Nengo: a Python tool for building large-scale functional brain models Spiking network simulation code for petascale computers Python in neuroscience Reproducibility in Computational Neuroscience Models and Simulations Benchmarking neuromorphic systems with Nengo ANNarchy: a code generation approach to neural simulations on parallel hardware Computational Modeling of Contrast Sensitivity and Orientation Tuning in First-Episode and Chronic Schizophrenia Parametric Anatomical Modeling: a method for modeling the anatomical layout of neurons and their projections Neural Network Evidence for the Coupling of Presaccadic Visual Remapping to Predictive Eye Position Updating. Development of maps of simple and complex cells in the primary visual cortex Geppetto: a reusable modular open platform for exploring neuroscience data and models ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing. NetPyNE, a tool for data-driven multiscale modeling of brain circuits Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Neural Schematics as a unified formal graphical representation of large-scale Neural Network Structures Could the prior development of the retinotopic map account for the radial bias in the orientation map in V1?

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