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Cell assemblies in the cerebral cortex Günther Palm, Andreas
Cell assemblies in the cerebral cortex Günther Palm, Andreas

... be generated from cyto-architectonic pictures. It is interesting to see the recent relevance of this old research in connection with current approaches to in-vivo-imaging of cortical myeloarchitectonics (Bock et al. 2013; Nieuwenhuys 2013). Knowledge about this middle range system has increased cons ...
Lcog read ch 4 1. Key concepts: behavior modification: refers to
Lcog read ch 4 1. Key concepts: behavior modification: refers to

Analysis of Functional MRI Data Using Mutual Information?
Analysis of Functional MRI Data Using Mutual Information?

... We have developed a theoretical framework for using MI to calculate the fMRI activation map. While there are many existing approaches to calculate the activation map, all these techniques depend on some a priori assumptions about the relationship between the protocol timeline and the fMRI voxel temp ...
Learning
Learning

... A variable ratio schedule means that reinforcers are distributed based on the average number of correct behaviors. A variable ratio of 1:3 means that on average, one out of every three behaviors will be rewarded. Example: Slot Machines (you think your chances go up with each pull) ...
Tom`s JSNC2000 paper
Tom`s JSNC2000 paper

... behavioral output. Simultaneously, the biological processes responsible for any changes in the behavior of the ANIMAT can be examined in detail, either through changes in the distributed pattern of neural activity, or by conventional microscopy. Figure 1. Diagram of the Animat concept. ...
LGN
LGN

... LGN interneurons make only local connections. There are more interneurons than relay neurons! LGN neurons get feedback connections from cortex. (The one-way connection from retina to rest of brain is unique in the visual system). LGN gets other inputs as well. For example: from brainstem and perigen ...
diencephalon - ugur baran kasirga web pages
diencephalon - ugur baran kasirga web pages

... Diencephalon is made up of four distinct components: the thalamus, the subthalamus, the hypothalamus, and the epithalamus. The hypothalamus is an integral part of the endocrine system, with one of the most important functions being to link the nervous system to the endocrine system via the pituitary ...
The Science of Psychology
The Science of Psychology

... “movie” of changes in the activity of the brain using images from different time periods. ...
The Human Brain: An Introduction to Its Functional Anatomy. By
The Human Brain: An Introduction to Its Functional Anatomy. By

...       Most human neocortex is association area.          Association cortex is divided into two broad types:          Unimodal association areas:              Areas adjacent to a primary area: to elaborate primary area data.            ‐‐ 18, 19: visual association area                    Superior  ...
Neurophysiology: Sensing and categorizing
Neurophysiology: Sensing and categorizing

Neurobiology of Economic Choice: A Good
Neurobiology of Economic Choice: A Good

... outcome). These contingencies may, however, affect values in the form of action costs (the actions necessary to obtain different goods often bear different costs). The model proposed here assumes that the action cost (i.e., the physical effort) is computed, represented in a nonspatial way, and integ ...
Table 13 - Angelfire
Table 13 - Angelfire

... behavior, and they have an equally long history. Hippocrates, often called the “father of medicine”, lived around the same time as Socrates. He was deeply interested in physiology, which is the study of the functions of the living organisms and its parts. His observation on how the brain controls va ...
Here - Statistical Analysis of Neuronal Data
Here - Statistical Analysis of Neuronal Data

... populations through its synaptic input, which is likewise reflected in the statistics of Vm. The raw data from intracellular recordings can be processed to extract its statistical characteristics. Such compact representation of the data can be used to infer biological properties of the neuron and dy ...
l.2_behavior_modification_ppt
l.2_behavior_modification_ppt

... • The final desired behavior should be stated in such a way that all the relevant characteristics of the behavior (its topography, amount, latency, and intensity) are identified. • The conditions under which behavior is or is not to occur should be stated, and any other guidelines that appear to be ...
Jay_21Mar2013
Jay_21Mar2013

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100 Fascinating Facts You Never Knew About the
100 Fascinating Facts You Never Knew About the

... 70. During a dream. If you are awakened during a dream, you are much more likely to remember the dream than if you slept until a full night’s sleep. 71. Symbolism. As those who invest in dream dictionaries can attest, dreams almost never represent what they actually are. The unconscious mind strives ...
Brain activation during human navigation: gender
Brain activation during human navigation: gender

... the possible intersections and paths (not shown to subjects). Landmarks with distinct patterns are indicated by solid black lines. ...
3 The Third-Person View of the Mind
3 The Third-Person View of the Mind

... time delay, most neurons have their axons covered with a fatty substance called myelin. As shown in Fig. 3-2, the myelin sheath is interrupted at regular intervals by small breaks called the nodes of Ranvier. An action potential moves along a myelinated axon very quickly because it jumps from node-t ...
Lecture 15
Lecture 15

... Leaky integrate and fire neurons Encode each individual spike Time is represented exactly Each spike has an associated time The timing of recent incoming spikes determines whether a neuron will fire • Computationally expensive • Can we do almost as well without encoding every single spike? ...
Lecture Exam 2 Study Guide
Lecture Exam 2 Study Guide

... - What does the blood-brain barrier consist of, and what is its purpose? - What are the special metabolic requirements of nervous tissue? What two substances does the brain require in large quantities? How does the brain respond to hyper- and hypoglycemia? - What is the overall function of gray matt ...
File - Coach Waters
File - Coach Waters

... • A partial reinforcement schedule that rewards an unpredictable number of correct responses • This schedule is very resistant to extinction. • Sometimes called the “gambler’s schedule”; similar to a slot machine ...
in brain & spinal cord
in brain & spinal cord

... Some Neurons in hypothalamus Fx as Endocrine (ductless) Glands Axons secrete Releasing Hormones into blood RH’s control release of Anterior Pituitary Hormones that influence hormone secretion by ...
Syllabus
Syllabus

... be able to go over some of these findings. If there is an area or phenomenon that we fail to discuss, I can only encourage to read about it in the text or internet or journals. Finally, you are Honor students and there is a give expectation about the motivation and professionalism associated with yo ...
How antipsychotics become anti-”psychotic” –from dopamine to
How antipsychotics become anti-”psychotic” –from dopamine to

... same ideas, schemes and percepts become reinvested • Two different episodes in one patient are very similar ...
Identifying Hallmarks of Consciousness in Non-Mammalian
Identifying Hallmarks of Consciousness in Non-Mammalian

... From a gross anatomical perspective, avian brains are distinguished from those of mammals by the division of the telencephalon into structures resembling nuclei which lack the laminated cortical mantle characteristic of mammalian brains. Additionally, the avian optic tectum and cerebellum are more e ...
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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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