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Executive Control Over Cognition: Stronger and Earlier Rule
Executive Control Over Cognition: Stronger and Earlier Rule

... Figure 1. Event sequence of the DYSC task and locations of neural recording in parietal (PAR) and prefrontal (PFC) cortex. Each trial, we presented a small circular sample stimulus and a line serving as a boundary cue. We varied the order of presentation of these stimuli, using either a sample– boun ...
Topography of Visual Cortex Connections with Frontal Eye Field in
Topography of Visual Cortex Connections with Frontal Eye Field in

... The primate visual system consists of at least two processing streams, one passing ventrally into temporal cortex that is responsible for object vision, and the other running dorsally into parietal cortex that is responsible for spatial vision. How information from these two streams is combined for ...
BIOINFORMATICS ORIGINAL PAPER
BIOINFORMATICS ORIGINAL PAPER

... of the retina about the optic nerve have no impact on the results. The scale and rotation invariance facilitates comparison between retinas and different cell types. For example, retinal neurons, pericytes or Müller cells can be converted into this same feature space for comparative analysis. In ad ...
Linking Topography to Tonotopy in the Mouse Auditory
Linking Topography to Tonotopy in the Mouse Auditory

... The auditory cortex is functionally organized to contain spatial representations of basic stimulus attributes and stimulusevoked response properties (for review, see Schreiner and Winer, 2007). Some of these spatially ordered representations, such as tonotopy, can be distributed over hundreds of tho ...
What and Where Information in the Caudate Tail Guides Saccades
What and Where Information in the Caudate Tail Guides Saccades

... results suggest that CDt neurons receive both “what” and “where” information and guide saccades to visual objects. ...
Saccade Target Selection in the Superior - Smith
Saccade Target Selection in the Superior - Smith

... McPeek, Robert M., and Edward L. Keller. Saccade target selection in the superior colliculus during a visual search task. J Neurophysiol 88: 2019 –2034, 2002; 10.1152/jn.00181.2002. Because realworld scenes typically contain many different potential objects of interest, selecting one goal from many ...
Anticipated synchronization in neuronal circuits
Anticipated synchronization in neuronal circuits

... emitter in time. This counterintuitive phenomenon can be a stable solution of two dynamical systems coupled in a master-slave configuration when the slave is subject to a negative delayed self-feedback. Many examples of AS dynamics have been found in different systems, however, theoretical and exper ...
Spike Timing-Dependent Plasticity: From Synapse to Perception
Spike Timing-Dependent Plasticity: From Synapse to Perception

... depends on the order and interval between the pre/post bursts rather than between individual spikes. For a synaptic learning rule used to understand computation at the circuit level, the disadvantage of treating each burst as a distinct unit is that separate rules must be characterized for these bur ...
Chapter 2
Chapter 2

... An understanding of the neuronal organization of the inferior colliculus (IC) requires an exploration of how the types of neurons, the microcircuitry, and the synaptic organization of the IC interact to define functional zones. The IC was originally divided using anatomical methods to identify the n ...
Perception Spike Timing-Dependent Plasticity: From Synapse to
Perception Spike Timing-Dependent Plasticity: From Synapse to

... http://www.the-aps.org/publications/prv ...
Where do mirror neurons come from?
Where do mirror neurons come from?

... Table 2 Associative learning. Associative learning is a form of learning that results from exposure to a relationship between two events. ‘Conditioning procedures’ arrange different types of relationship between events. Research examining the effects of conditioning procedures on animal behaviour ha ...
Cortical areas are linked through pathways which originate and
Cortical areas are linked through pathways which originate and

... relationship of structure to connectional patterns. Structural analysis as defined in this study classifies areas into a few cortical types, determined by the number of identifiable layers in each area and by how distinct the layers are from each other. By contrast, cytoarchitectonic analysis is a m ...
THESIS D - Krishikosh
THESIS D - Krishikosh

... I express my sincere thanks to Mr. S. N. Gawande. University Librarian, MAFSU, Nagpur. I also offer my sincere thanks to Mr. Dinesh Patil, Assistant Professors of Statistics, Department of Veterinary Genetics, Nagpur Veterinary College, Nagpur for their suggestions and guidance as and when required ...
Orexinergic Input to Dopaminergic Neurons of the Human Ventral
Orexinergic Input to Dopaminergic Neurons of the Human Ventral

... profoundly influenced by an orexinergic input from the lateral hypothalamus to the VTA. Because the existence and significance of an analogous orexigenic regulatory mechanism acting in the human VTA have been elusive, here we addressed the possibility that orexinergic neurons provide direct input to ...
Relationship of Prefrontal Connections to Inhibitory Systems in Superior Temporal
Relationship of Prefrontal Connections to Inhibitory Systems in Superior Temporal

... indicates that cognitive tasks involving verbal fluency activate the anterior cingulate region and reduce activity in superior temporal auditory cortices (Dolan et al., 1995; Frith and Dolan, ...
On the Role of the Pontine Brainstem in Vocal Pattern Generation: A
On the Role of the Pontine Brainstem in Vocal Pattern Generation: A

... were tested: activity type, timing of activity, excitation/inhibition, call-pattern correlation, call specificity, and pre-vocal onset time. Statistical analyses were performed for the syllable pre-onset times by a univariate variance analysis (general linear model) comparing general Figure 2. Front ...
Frontal Eye Field Neurons Reflect Covert, Serial Shifts of Attention
Frontal Eye Field Neurons Reflect Covert, Serial Shifts of Attention

... experimental methods for details). This estimate fits well with earlier results (Hikosaka et al., 1993) and matches our neural data (see below). Importantly, this method of estimating the time to shift attention does not assume a consistent search pattern or starting point, only that the animal perf ...
View Full Page PDF
View Full Page PDF

... fact, awake behaving states were traditionally characterized by “desynchronized EEG” in contrast to large-amplitude slow oscillations observed in quiet (non-rapid eye movement, non-REM) sleep (236, 908, 909, 913). It is an interesting and by no means obvious question as to how desynchronization or a ...
Selectivity for the Shape, Size, and Orientation of Objects for
Selectivity for the Shape, Size, and Orientation of Objects for

... Euclidean distance between each pair of objects (Young and Yamane 1992, 1993) as an index of similarity, which is the square root of the sum of the squared differences between the activities of individual neurons for the two objects. Based on these distances, MDS was performed to construct a map of ...
“left or right” Decision-making beyond
“left or right” Decision-making beyond

... simulate decision-making and related brain activity using computational models, naturally touches delicate philosophical issues. Yet, we will dismiss this matter here by confining our study to choices solely attributable to the sensory input to - and the assumed properties of - the decision-making u ...
Selectivity for the Shape, Size, and Orientation of Objects for
Selectivity for the Shape, Size, and Orientation of Objects for

... or fixating on three-dimensional (3D) objects of different geometric shapes, sizes, and orientations. We studied the activity of 132 task-related neurons during the hand-manipulation tasks in the light and in the dark, as well as during object fixation. Seventy-seven percent (101/132) of the hand-ma ...
Artificial Intelligence
Artificial Intelligence

... expert systems: Bayesian reasoning and certainty factors. We identify the main sources of uncertain knowledge and briefly review probability theory. We consider the Bayesian method of accumulating evidence and develop a simple expert system based on the Bayesian approach. Then we examine the certain ...
Brain asymmetry is encoded at the level of axon terminal morphology
Brain asymmetry is encoded at the level of axon terminal morphology

... have a stereotypical unipolar morphology and their axons terminate in spiral-shaped arbors that display Habenular neurons have a stereotypical unipolar morphology and their axons terminate in spiral-shaped arbors that display multiple midline crossing. (a) Three-dimensional reconstruction showing a ...
Neurophysiological and Computational Principles of Cortical
Neurophysiological and Computational Principles of Cortical

... fact, awake behaving states were traditionally characterized by “desynchronized EEG” in contrast to large-amplitude slow oscillations observed in quiet (non-rapid eye movement, non-REM) sleep (236, 908, 909, 913). It is an interesting and by no means obvious question as to how desynchronization or a ...
A Neural Theory of Visual Attention
A Neural Theory of Visual Attention

... Filtering is done in such a way that the number of cells in which an object is represented increases with the behavioral importance of the object (parallel processing with differential allocation of resources). More specifically, the probability that a cortical neuron represents a particular object ...
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Convolutional neural network

In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network where the individual neurons are tiled in such a way that they respond to overlapping regions in the visual field. Convolutional networks were inspired by biological processes and are variations of multilayer perceptrons which are designed to use minimal amounts of preprocessing. They are widely used models for image and video recognition.
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