HFirst: A Temporal Approach to Object Recognition DOI
Garrick Orchard,

Cédric Meyer,

Ralph Etienne‐Cummings

и другие.

IEEE Transactions on Pattern Analysis and Machine Intelligence, Год журнала: 2015, Номер 37(10), С. 2028 - 2040

Опубликована: Янв. 15, 2015

This paper introduces a spiking hierarchical model for object recognition which utilizes the precise timing information inherently present in output of biologically inspired asynchronous Address Event Representation (AER) vision sensors. The nature these systems frees computation and communication from rigid predetermined enforced by system clocks conventional systems. Freedom constraints opens possibility using true to our advantage computation. We show not only how can be used recognition, but also it fact simplify Specifically, we rely on simple temporal-winner-take-all rather than more computationally intensive synchronous operations typically neural networks recognition. approach visual represents major paradigm shift clocked find application other sensory modalities computational tasks. showcase effectiveness achieving highest reported accuracy date (97.5\%$\pm$3.5\%) previously published four class card pip task an 84.9\%$\pm$1.9\% new difficult 36 character task.

Язык: Английский

From the connectome to brain function DOI
Cornelia I. Bargmann, Eve Marder

Nature Methods, Год журнала: 2013, Номер 10(6), С. 483 - 490

Опубликована: Май 30, 2013

Язык: Английский

Процитировано

573

Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration DOI Creative Commons
Lan Luan, Xiaoling Wei, Zhengtuo Zhao

и другие.

Science Advances, Год журнала: 2017, Номер 3(2)

Опубликована: Фев. 3, 2017

Implanted brain electrodes construct the only means to electrically interface with individual neurons in vivo, but their recording efficacy and biocompatibility pose limitations on scientific clinical applications. We showed that nanoelectronic thread (NET) subcellular dimensions, ultraflexibility, cellular surgical footprints form reliable, glial scar-free neural integration. demonstrated NET reliably detected tracked units for months; impedance, noise level, single-unit yield, signal amplitude remained stable during long-term implantation. In vivo two-photon imaging postmortem histological analysis revealed seamless, integration of probes local vasculature networks, featuring fully recovered capillaries an intact blood-brain barrier complete absence chronic neuronal degradation scar.

Язык: Английский

Процитировано

515

An open science resource for establishing reliability and reproducibility in functional connectomics DOI Creative Commons

Xi-Nian Zuo,

Jeffrey S. Anderson, Pierre Bellec

и другие.

Scientific Data, Год журнала: 2014, Номер 1(1)

Опубликована: Дек. 8, 2014

Abstract Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures reported have moderate high test-retest reliability, variability data acquisition, experimental designs, and analytic methods precludes generalize results. The Consortium for Reliability Reproducibility (CoRR) is working address this challenge establish reliability as minimum standard development connectomics. Specifically, CoRR has aggregated 1,629 typical individuals’ resting state fMRI (rfMRI) (5,093 rfMRI scans) from 18 international sites, openly sharing them via International Data-sharing Neuroimaging Initiative (INDI). To allow researchers generate various estimates reproducibility, variety acquisition procedures designs included. Similarly, enable users assess impact commonly encountered artifacts (for example, motion) on characterizations variation, datasets varying quality

Язык: Английский

Процитировано

452

The human connectome: Origins and challenges DOI
Olaf Sporns

NeuroImage, Год журнала: 2013, Номер 80, С. 53 - 61

Опубликована: Март 23, 2013

Язык: Английский

Процитировано

421

Spontaneous cortical activity alternates between motifs defined by regional axonal projections DOI
Majid H. Mohajerani, Allen W. Chan, Mostafa Mohsenvand

и другие.

Nature Neuroscience, Год журнала: 2013, Номер 16(10), С. 1426 - 1435

Опубликована: Авг. 25, 2013

Язык: Английский

Процитировано

406

Nanotools for Neuroscience and Brain Activity Mapping DOI
A. Paul Alivisatos, Anne M. Andrews,

Edward S. Boyden

и другие.

ACS Nano, Год журнала: 2013, Номер 7(3), С. 1850 - 1866

Опубликована: Март 20, 2013

Neuroscience is at a crossroads. Great effort being invested into deciphering specific neural interactions and circuits. At the same time, there exist few general theories or principles that explain brain function. We attribute this disparity, in part, to limitations current methodologies. Traditional neurophysiological approaches record activities of one neuron neurons time. Neurochemical focus on single neurotransmitters. Yet, an increasing realization circuits operate emergent levels, where between hundreds thousands neurons, utilizing multiple chemical transmitters, generate functional states. Brains function nanoscale, so tools study brains must ultimately scale, as well. Nanoscience nanotechnology are poised provide rich toolkit novel methods explore by enabling simultaneous measurement manipulation activity even millions neurons. others refer goal Brain Activity Mapping Project. In Nano Focus, we discuss how recent developments nanoscale analysis design synthesis nanomaterials have generated optical, electrical, can readily be adapted for use neuroscience. These represent exciting areas technical development research. Moreover, unique opportunities nanoscientists, nanotechnologists, other physical scientists engineers contribute tackling challenging problems involved understanding fundamentals

Язык: Английский

Процитировано

357

The NIH BRAIN Initiative DOI

Thomas R. Insel,

Story C. Landis,

Francis S. Collins

и другие.

Science, Год журнала: 2013, Номер 340(6133), С. 687 - 688

Опубликована: Май 9, 2013

The NIH BRAIN Initiative will build on recent successes in neuroscience to create and apply new tools for understanding brain activity.

Язык: Английский

Процитировано

340

Visualization of cortical, subcortical and deep brain neural circuit dynamics during naturalistic mammalian behavior with head-mounted microscopes and chronically implanted lenses DOI Open Access
Shanna L. Resendez,

Josh H Jennings,

Randall L. Ung

и другие.

Nature Protocols, Год журнала: 2016, Номер 11(3), С. 566 - 597

Опубликована: Фев. 25, 2016

Язык: Английский

Процитировано

333

Graph analysis of functional brain networks: practical issues in translational neuroscience DOI Open Access
Fabrizio De Vico Fallani, Jonas Richiardi, Mario Chávez

и другие.

Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2014, Номер 369(1653), С. 20130521 - 20130521

Опубликована: Сен. 2, 2014

The brain can be regarded as a network: connected system where nodes, or units, represent different specialized regions and links, connections, communication pathways. From functional perspective is coded by temporal dependence between the activities of areas. In last decade, abstract representation graph has allowed to visualize networks describe their non-trivial topological properties in compact objective way. Nowadays, use analysis translational neuroscience become essential quantify dysfunctions terms aberrant reconfiguration networks. Despite its evident impact, not simple toolbox that blindly applied signals. On one hand, it requires know-how all methodological steps processing pipeline manipulates input signals extract network properties. other knowledge neural phenomenon under study required perform physiological-relevant analysis. aim this review provide practical indications make sense contrast counterproductive attitudes.

Язык: Английский

Процитировано

332

Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals DOI
Antal Berényi, Zoltán Somogyvári,

Anett J. Nagy

и другие.

Journal of Neurophysiology, Год журнала: 2013, Номер 111(5), С. 1132 - 1149

Опубликована: Дек. 19, 2013

Monitoring representative fractions of neurons from multiple brain circuits in behaving animals is necessary for understanding neuronal computation. Here, we describe a system that allows high-channel-count recordings small volume tissue using lightweight signal multiplexing headstage permits free behavior rodents. The integrates multishank, high-density recording silicon probes, ultraflexible interconnects, and miniaturized microdrive. These improvements allowed simultaneous local field potentials unit activity hundreds sites without confining movements the animal. advantages large-scale are illustrated by determining electroanatomic boundaries layers regions hippocampus neocortex constructing circuit diagram functional connections among real anatomic space. methods will allow investigation operations behavior-dependent interregional interactions testing hypotheses neural networks function.

Язык: Английский

Процитировано

320