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Neural Cognitive Modelling: A Biologically Constrained Spiking
Neural Cognitive Modelling: A Biologically Constrained Spiking

... involves finding the algorithms underlying cognitive performance as well as determining how these algorithms are implemented within the brain through the interaction of neurons, neurotransmitters, and other physical components. Our ongoing research is in the construction of large-scale neural models ...
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Frontal lobe and cognitive development
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The Nervous System - McGraw Hill Higher Education
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Hafiz Noordin Term Paper - Engineering Computing Facility

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Different Strategies in Solving Series Completion Inductive

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Building Production Systems with Realistic Spiking Neurons Terrence C. Stewart ()

... this allows us to represent atomic concepts, structures of concepts, and manipulations of those structures using the same representational form: a simple vector of numbers. The second area used is the Neural Engineering Framework (NEF; Eliasmith & Anderson, 2003). This describes how groups of neuron ...
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Chapter 21: Attention

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What Are Emotional States, and Why Do We

...   The implication is that operation by animals (including humans) using reward and punishment systems tuned to dimensions of the environment that increase fitness provides a mode of operation that can work in organisms that evolve by natural selection. It is clearly a natural outcome of Darwinian e ...
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behaviorism and classical conditioning

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Ch 15 Chemical Senses

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Using Music to Tap Into a Universal Neural Grammar
Using Music to Tap Into a Universal Neural Grammar

... Outlining the Musical Brain Model I suggest that this high degree of musical sensitivity is most easily understood by viewing the brain as a system that is ‘music-like’ in its design; that is, there are fundamental similarities between the temporal properties of music and the complex dynamic process ...
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... that laws of learning were similar for all animals. Therefore, a pigeon and a person do not differ in their learning.  However, behaviorists later suggested that learning is constrained by an animal’s biology. ...
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This Week in The Journal - The Journal of Neuroscience
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... or restricted to a small subset of cells. MeCP2ishighlyexpressedinneurons,and neuron-specific expression of MeCP2 can rescue RTT-like symptoms in otherwise MeCP2deficient mice. Expression of MeCP2 in glia is much lower than in neurons, but recent evidence suggests that glia also contribute to RTT ne ...
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... stimulus to arouse similar responses after the response has been conditioned. (psychology.about.com) Psychologist B.F Skinner known as one of the leaders of behaviorism furthered the behaviorist perspective. He was very much influenced by Pavlov’s experiments and the ideas of Watson. Skinner believe ...
The mind`s mirror
The mind`s mirror

... branch out from the motor cortex to try to figure out where else in the brain these neurons might reside. The first study The discovery of mirror neurons owes as much to serendipity as to skill. In the 1980s, Rizzolatti and his colleagues had found that some neurons in an area of macaque monkeys' pr ...
cur op e-print version
cur op e-print version

... This usage of utility is more narrow than the one intended by the British philosopher, Jeremy Bentham, who first used the term as both a normative and explanatory principle [1]. To Bentham, utility reflected both the bipolar dimension of pleasure and pain and the basis for decision. Bentham’s propos ...
Chapter 2 - People Server at UNCW
Chapter 2 - People Server at UNCW

... Commonly Used Criteria for Defining Abnormality (HIDES) • Help Seeking • Irrationality/Dangerousness • Deviance • Emotional Distress • Significant Impairment ...
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Neuroeconomics

Neuroeconomics is an interdisciplinary field that seeks to explain human decision making, the ability to process multiple alternatives and to follow a course of action. It studies how economic behavior can shape our understanding of the brain, and how neuroscientific discoveries can constrain and guide models of economics.It combines research methods from neuroscience, experimental and behavioral economics, and cognitive and social psychology. As research into decision-making behavior becomes increasingly computational, it has also incorporated new approaches from theoretical biology, computer science, and mathematics. Neuroeconomics studies decision making, by using a combination of tools from these fields so as to avoid the shortcomings that arise from a single-perspective approach. In mainstream economics, expected utility (EU), and the concept of rational agents, are still being used. Many economic behaviors are not fully explained by these models, such as heuristics and framing.Behavioral economics emerged to account for these anomalies by integrating social, cognitive, and emotional factors in understanding economic decisions. Neuroeconomics adds another layer by using neuroscientific methods in understanding the interplay between economic behavior and neural mechanisms. By using tools from various fields, some scholars claim that neuroeconomics offers a more integrative way of understanding decision making.
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