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Results 1 - 10
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488
Weak pairwise correlations imply strongly correlated network states in a neural population.
, 2006
"... Biological networks have so many possible states that exhaustive sampling is impossible. Successful analysis thus depends on simplifying hypotheses, but experiments on many systems hint that complicated, higher-order interactions among large groups of elements have an important role. Here we show, ..."
Abstract
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Cited by 191 (4 self)
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for the generality of these ideas, we show that similar results are obtained from networks of cultured cortical neurons. Much of what we know about biological networks has been learned by studying one element at a time-recording the electrical activity of single neurons, the expression levels of single genes
Learning to control a brain-machine interface for reaching and grasping by primates
- Public Library of Science Biology
, 2003
"... Reaching and grasping in primates depend on the coordination of neural activity in large frontoparietal ensembles. Here we demonstrate that primates can learn to reach and grasp virtual objects by controlling a robot arm through a closed-loop brain–machine interface (BMIc) that uses multiple mathema ..."
Abstract
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Cited by 192 (13 self)
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Reaching and grasping in primates depend on the coordination of neural activity in large frontoparietal ensembles. Here we demonstrate that primates can learn to reach and grasp virtual objects by controlling a robot arm through a closed-loop brain–machine interface (BMIc) that uses multiple
Temporal structure in neuronal activity during working memory in macaque parietal cortex,”
- Nature Neuroscience,
, 2002
"... The neural basis of working memory is typically studied in non-human primates by recording activity during delayed response tasks 1 . Cue-selective elevations in mean firing rates are found during the delay period in many brain areas using different versions of these tasks Temporally correlated ne ..."
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Cited by 145 (6 self)
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and local field potential (LFP) activity recorded in area LIP from two macaques during a memory-saccade task. Spike activity has been examined in area LIP during this task 3,29 , but LFP activity has not. LFP activity is generated by extracellular currents due to synchronized activity in a local population
Behavioral theories and the neurophysiology of reward,
- Annu. Rev. Psychol.
, 2006
"... ■ Abstract The functions of rewards are based primarily on their effects on behavior and are less directly governed by the physics and chemistry of input events as in sensory systems. Therefore, the investigation of neural mechanisms underlying reward functions requires behavioral theories that can ..."
Abstract
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Cited by 187 (0 self)
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for an interesting spectrum of reward functions that may not be so easily accessible by using only a single theory. For example, it seems that uncertainty plays a larger role in parts of microeconomic theory than in learning theory, and the investigation of neural mechanisms of uncertainty in outcomes of behavior
Hierarchical models for neural population dynamics in the presence of non-stationarity
"... Neural population activity often exhibits rich variability and temporal structure. This variability is thought to arise from single-neuron stochasticity, neural dynam-ics on short time-scales, as well as from modulations of neural firing properties on long time-scales, often referred to as “non-stat ..."
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Neural population activity often exhibits rich variability and temporal structure. This variability is thought to arise from single-neuron stochasticity, neural dynam-ics on short time-scales, as well as from modulations of neural firing properties on long time-scales, often referred to as “non
Analysis of between-trial and within-trial neural spiking dynamics
, 2008
"... Recording single-neuron activity from a specific brain region across multiple trials in response to the same stimulus or execution of the same behavioral task is a common neurophysiology protocol. The raster plots of the spike trains often show strong between-trial and within-trial dynamics, yet the ..."
Abstract
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Cited by 25 (5 self)
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Recording single-neuron activity from a specific brain region across multiple trials in response to the same stimulus or execution of the same behavioral task is a common neurophysiology protocol. The raster plots of the spike trains often show strong between-trial and within-trial dynamics, yet
Unlocking neural population non-stationarity using a hierarchical dynamics model
"... Neural population activity often exhibits rich variability. This variability can arise from single-neuron stochasticity, neural dynamics on short time-scales, as well as from modulations of neural firing properties on long time-scales, often referred to as neural non-stationarity. To better understa ..."
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algorithm for joint inference of parameters and population states. On neural population recordings from primary visual cortex, we demon-strate that our model provides a better account of the structure of neural firing than stationary dynamics models. 1
Learning stable, regularised latent models of neural population dynamics
- Network
, 2012
"... Running title: Stable, regularised models of population dynamics Ongoing advances in experimental technique are making commonplace simultaneous record-ings of the activity of tens to hundreds of cortical neurons at high temporal resolution. Latent population models, including Gaussian-process factor ..."
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Cited by 2 (1 self)
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Running title: Stable, regularised models of population dynamics Ongoing advances in experimental technique are making commonplace simultaneous record-ings of the activity of tens to hundreds of cortical neurons at high temporal resolution. Latent population models, including Gaussian
Extracting dynamical structure embedded in neural activity
- in Advances in Neural Information Processing Systems 18
, 2006
"... Spiking activity from neurophysiological experiments often exhibits dynamics beyond that driven by external stimulation, presumably reflecting the extensive recurrence of neural circuitry. Characterizing these dynamics may reveal important features of neural computation, particularly during internal ..."
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Cited by 28 (9 self)
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Spiking activity from neurophysiological experiments often exhibits dynamics beyond that driven by external stimulation, presumably reflecting the extensive recurrence of neural circuitry. Characterizing these dynamics may reveal important features of neural computation, particularly during
Results 1 - 10
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