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Neuronal basis of sequential foraging decisions in a
Neuronal basis of sequential foraging decisions in a

... Deciding when to leave a depleting resource to exploit another is a fundamental problem for all decision makers. The neuronal mechanisms mediating patch-leaving decisions remain unknown. We found that neurons in primate (Macaca mulatta) dorsal anterior cingulate cortex, an area that is linked to rew ...
Where Do Features Come From?
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... you that she scromed him with the frying pan, you immediately have quite a large number of features for the word “scromed.” Innately specified detectors for long wriggly things or for a red dot between two almost parallel lines may be a good way to avoid venomous snakes or to get a mother gull to re ...
Exam 5 Study Guide-sp2016
Exam 5 Study Guide-sp2016

... nervous system, including somatic and autonomic systems. Explain the structure of an idealized neuron, including the functions of all the parts: cell body, dendrites, dendritic spines, axon hillock, axon, axon collateral, myelin sheath, neurofibril node (node of Ranvier), axon terminal, synaptic kno ...
SCandSN 08
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... Spinal cord and spinal nerves • spinal cord anatomy • spinal meninges • where to put that needle • spinal cord terminology • spinal nerves • ascending and descending tracts • where do spinal nerves go? ...
Paper - Wharton Marketing
Paper - Wharton Marketing

... Deciding when to leave a depleting resource to exploit another is a fundamental problem for all decision makers. The neuronal mechanisms mediating patch-leaving decisions remain unknown. We found that neurons in primate (Macaca mulatta) dorsal anterior cingulate cortex, an area that is linked to rew ...
Foundations for a Circuit Complexity Theory of Sensory
Foundations for a Circuit Complexity Theory of Sensory

... most previously proposed circuits for sensory processing, since already complete connectivity between just two linear size 2-dimensional layers of a feedforward neural net requires a total wire length of   . Furthermore a circuit which first selects a salient input segment consisting of a ...
Temporal delays among place cells determine the frequency of
Temporal delays among place cells determine the frequency of

... Fig. S4), POP showed oscillatory fluctuations at the same frequency as the simultaneously recorded theta LFP (Fig. 3 A–E and H). At the same time, individual pyramidal cells of the same population oscillated at a higher frequency than the LFP and the POP (Fig. 3 F and G), indicating that the frequenc ...
Olfaction in Invertebrates: Manduca. In: Squire LR (ed). Encyclopedia of Neuroscience, vol 7, pp 49-57. Oxford: Academic Press.
Olfaction in Invertebrates: Manduca. In: Squire LR (ed). Encyclopedia of Neuroscience, vol 7, pp 49-57. Oxford: Academic Press.

... which project to the lip region of the mushroom body (MB) and to the lateral protocerebrum, the LH. PNs in these two pathways have been analyzed more closely by intracellular recordings. PNs in the median antennocerebral tract (m-ACT) code odors by latency differences or specific inhibitory phases i ...
Dissociation of Mnemonic Coding and Other Functional Neuronal
Dissociation of Mnemonic Coding and Other Functional Neuronal

Action recognition in the premotor cortex
Action recognition in the premotor cortex

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Krasnow Institute for Advanced Studies -- George
Krasnow Institute for Advanced Studies -- George

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Basal Ganglia: Mechanisms for Action Selection
Basal Ganglia: Mechanisms for Action Selection

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Nervous System Part 4
Nervous System Part 4

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... counterpart (Fig. 1A), permitting sensory inputs to be transiently (9) or persistently turned on by targeted disruptions of the balance (10, 11). Although the excitatory-inhibitory balance plays an important role for stability and information processing in cortical networks, it is not understood by ...
Preview Sample 2
Preview Sample 2

... • The dendrites project out from the cell bodies are the primary receivers of signals from other neurons. • The axon is a tail-like extension of the neuron. It transmits signals to other neurons. • At the ends of the axons are the axon terminals. Signals move from the axon terminals to the dendrites ...
Psychology Chapter A - Oxford University Press
Psychology Chapter A - Oxford University Press

... the railway tracks out of the station directly to Cape Town. Similarly, the message travels down the neuron axon which transmits the message to other neurons. The axon goes straight to the terminal buttons or axon terminals (this would be Cape Town station for the train on which you are travelling). ...
Exam 5 Study Guide
Exam 5 Study Guide

... nervous system, including somatic and autonomic systems. Explain the structure of an idealized neuron, including the functions of all the parts: cell body, dendrites, dendritic spines, axon hillock, axon, axon collateral, myelin sheath, neurofibril node (node of Ranvier), axon terminal, synaptic kno ...
The neural milieu of the developing choroid plexus: neural stem
The neural milieu of the developing choroid plexus: neural stem

Slide 1
Slide 1

... Neurotransmitters and Neuromodulators  Chemical synapse  The synaptic terminal releases a neurotransmitter that binds to the postsynaptic plasma membrane  Produces temporary, localized change in permeability or function of postsynaptic cell  Changes affect cell, depending on nature and number o ...
Stereoscopic Mechanisms in Monkey Visual Cortex: Binocular
Stereoscopic Mechanisms in Monkey Visual Cortex: Binocular

... Two aspects of the S-dimensional properties of cortical neurons were evaluated: horizontal disparity selectivity and binocular correlation sensitivity. (1) Positionaldisparity selectivity was determined with moving or flashing “optimal” bars presented stereoscopically (solid figure stereograms) agai ...
A monument of inefficiency: The presumed course of the recurrent
A monument of inefficiency: The presumed course of the recurrent

... ends of the flukes and the anatomical path of the nerve fibers is not perfectly straight, so it is likely that the largest blue whales have individual nerve cells 30 m or more in length. These may be the longest cells in any extant organism, al− though it is worth noting that their existence is pred ...
1 Revised 10/11/2016 The Physiology of the Senses Lecture 7
1 Revised 10/11/2016 The Physiology of the Senses Lecture 7

... distinguish edges, feel textures, read letters, and recognize objects as complex as faces. And, as in vision, we can do this with very few receptor types. There are five receptors sensitive to touch (Figure 7.1). In addition, there are ...
From sensorimotor learning to memory cells in prefrontal and
From sensorimotor learning to memory cells in prefrontal and

... Fig. 2 e Brain areas, model architecture and connectivity. (A)e(B) Sets of cortical areas, which were imitated by the network’s area structure and long-distance connectivity. Sensory (different shades of blue) and motor (shades of red) areas relevant for learning the associations (A) between articul ...
Synaptic receptors, neurotransmitters and brain modulators
Synaptic receptors, neurotransmitters and brain modulators

... Respecting the copyrights it was not possible to publish pictures showed at the lecture at our website. ...
Human Physiology - Orange Coast College
Human Physiology - Orange Coast College

... Transmission in one direction only. Axon of first (presynaptic) to second (postsynaptic) neuron. Synaptic transmission is through a chemical gated channel. Presynaptic terminal (bouton) releases a ...
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Nervous system network models

Network of human nervous system comprises nodes (for example, neurons) that are connected by links (for example, synapses). The connectivity may be viewed anatomically, functionally, or electrophysiologically. These are presented in several Wikipedia articles that include Connectionism (a.k.a. Parallel Distributed Processing (PDP)), Biological neural network, Artificial neural network (a.k.a. Neural network), Computational neuroscience, as well as in several books by Ascoli, G. A. (2002), Sterratt, D., Graham, B., Gillies, A., & Willshaw, D. (2011), Gerstner, W., & Kistler, W. (2002), and Rumelhart, J. L., McClelland, J. L., and PDP Research Group (1986) among others. The focus of this article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective and connectivity is chosen, the models are developed at microscopic (ion and neuron), mesoscopic (functional or population), or macroscopic (system) levels. Computational modeling refers to models that are developed using computing tools.
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