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13-1 CHAPTER 13 SYNAPSES The nervous system consists of
13-1 CHAPTER 13 SYNAPSES The nervous system consists of

... often an accumulation of some electrondense (appears dark in electron micrographs) material near the thickened membrane. On the presynaptic side, there is normally an accumulation of mitochondria in the bouton and, in electron micrographs, a large number of spherical or irregularly shaped structure ...
3- Hopfield networks
3- Hopfield networks

... converge to one of these. For (ii), the attracting fixed points are [−1, 1] and [1, −1] and all orbits converge to one of these. Therefore, in both cases, the network is sign blind: for any attracting fixed point, swapping all the signs gives another attracting fixed point. ...
Institute of Psychology C.N.R.
Institute of Psychology C.N.R.

... In the model to be described the mapping from genotype to phenotype is indirect and nonlinear, i.e. many-to-many. A single property of the genotype may have a role in determining many different traits of the phenotypic network and, conversely, each phenotypic trait may depend on many properties of t ...
Theme 6. Vision
Theme 6. Vision

... The amino acid GABA is the major inhibitory neurotransmitter in the brain. GABA binds to and activate a receptor subtype called GABA A receptor, which belongs to the group of ligand-gated ion channels or ionotropic receptors. Could you briefly describe these receptors? (3p) What happens when GABA bi ...
Fading memory and kernel properties of generic cortical microcircuit
Fading memory and kernel properties of generic cortical microcircuit

... model is the Turing machine [42,41,38]. In this case the domain D and range R are sets of finite character strings. This computational model is universal (for deterministic offline digital computation) in the sense that every deterministic digital function that is computable at all (according to a well ...
12-1 Test Bank Huether and McCance: Understanding
12-1 Test Bank Huether and McCance: Understanding

... 13. A 32-year-old female suffers from severe brain damage following a motor vehicle accident. After rehabilitation she notices that her thought processes and goal-oriented behavior are impaired. Which area does the nurse suspect is damaged? a. Thalamus b. Limbic c. Prefrontal d. Occipital ANS: C The ...
08 Electrophysiology of muscles
08 Electrophysiology of muscles

... When the slow sodium inactivation gate closes the positive sodium ions stop rushing in and the membrane depolarizes no further – the up-shoot stops. The same voltage that operated the sodium gates also is the same voltage to initiate action of the potassium gates – however the potassium gates are v ...
Chapter 2
Chapter 2

... network of blood capillaries. ...
Functional Connectivity during Surround Suppression in
Functional Connectivity during Surround Suppression in

... calculate the functional connectivity maps during surround suppression. Naturally, the rest of the time epochs were concatenated to calculate the functional connectivity maps without surround suppression. In order to calculate the functional connectivity for these two neuronal states, we used the Vo ...
Variance and invariance of neuronal long
Variance and invariance of neuronal long

... approximately 15% per day in primary somatosensory cortex [10] (but see [6,11,12] for potential pitfalls of these quantifications). How, then, is the brain able to maintain stable computational capabilities, stable representations of external and internal features and stable behavioural performance ...
35 | the nervous system
35 | the nervous system

... contains a specialized structure, the axon hillock that integrates signals from multiple synapses and serves as a junction between the cell body and an axon. An axon is a tube-like structure that propagates the integrated signal to specialized endings called axon terminals. These terminals in turn s ...
Efficient Event-Driven Simulation of Large Networks of Spiking
Efficient Event-Driven Simulation of Large Networks of Spiking

... We have found some attempts in this direction. An event-driven approach, similar in concept to the approach presented here, was first proposed by Watts (1994). It is rather general and flexible but not very suitable for large networks with extensive randomness because a specific “event” is generated ...
Stochastic dynamics as a principle of brain function
Stochastic dynamics as a principle of brain function

Bad Fish - Groch Biology
Bad Fish - Groch Biology

... CQ#7: Dr. Westwood ate a meal of pufferfish and rice. As a result, he was a victim of pufferfish poisoning that caused his life-threatening symptoms of numbness, ...
Document
Document

... the toes will usually curl downward. When UMN inhibition is removed, the toes will curl upward (Dorsiflexion). This is referred to as a positive Babinski or presence of Babinski’s sign. ...
Novel Approaches to Monitor and Manipulate Single NeuronsIn Vivo
Novel Approaches to Monitor and Manipulate Single NeuronsIn Vivo

... mechanical stability, implanted multielectrode arrays are usually constructed from electrodes (e.g., microwires) that are optimal for multiunit (multi-cell) rather than single-unit (single-cell) signals (Gray et al., 1995). These signals can be decomposed into putative single-unit signals using spik ...
how different levels of organization imply pre
how different levels of organization imply pre

... better understanding of the mechanisms underlying both types of change. Using a computational model we will try to show that nonadaptive evolutionary changes may largely outnumber adaptive ones. This fact appears mainly due to the hierarchical organization of the simulated organisms. We will also sh ...
Forecasting & Demand Planner Module 4 – Basic Concepts
Forecasting & Demand Planner Module 4 – Basic Concepts

... – an architecture: a set of neurons and links connecting neurons. Each link has a weight, – a neuron model: the information processing unit of the NN, – a learning algorithm: used for training the NN by modifying the weights in order to solve the particular learning task correctly on the training ex ...
A coincidence detector neural network model of selective attention
A coincidence detector neural network model of selective attention

... the basic pattern of results obtained in perceptual load experiments, explains how cues may interact with perceptual load, and takes into account the effects of salience. The model is based on recent findings about the neural synchronization between cortical areas during the execution of attentional ...
Discontinuity in evolution: how different levels of organization imply
Discontinuity in evolution: how different levels of organization imply

... better understanding of the mechanisms underlying both types of change. Using a computational model we will try to show that nonadaptive evolutionary changes may largely outnumber adaptive ones. This fact appears mainly due to the hierarchical organization of the simulated organisms. We will also sh ...
the Lateral Lemniscus Powerful, Onset Inhibition in the Ventral
the Lateral Lemniscus Powerful, Onset Inhibition in the Ventral

... The microelectrode was advanced remotely, using a motorized microdrive (MPC-100; Sutter Instruments), in small steps (2 ␮m) once the VNLL was encountered, but occasionally intracellular recordings were made from the IC (n ⫽ 14). Stimuli presented to both ears were 50 ms in duration with 5 ms rise-fa ...
REFLEX PHYSIOLOGY
REFLEX PHYSIOLOGY

... Integrating center (spinal cord) Flexor muscle relaxes ...
Nervous System
Nervous System

chapt14_HumanBiology14e_lecture
chapt14_HumanBiology14e_lecture

... What are the two parts of the nervous system? What three things protect the CNS? What are the four parts of the brain and their functions? What is the reticular activating system and the limbic system? What are some higher mental functions of the brain? What are the two parts of the peripheral nervo ...
Hybrid Analogies in Conceptual Innovation in Science
Hybrid Analogies in Conceptual Innovation in Science

... thought to comprise, with most research focusing on retrieval, mapping, and transfer. 3 The customary idea of problem solving by analogy is that one recognizes some similarities between the problem situation under consideration (target) and something with which one is familiar and is better underst ...
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Biological neuron model

A biological neuron model (also known as spiking neuron model) is a mathematical description of the properties of nerve cells, or neurons, that is designed to accurately describe and predict biological processes. This is in contrast to the artificial neuron, which aims for computational effectiveness, although these goals sometimes overlap.
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