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Artificial Intelligence (AI). Neural Networks
Artificial Intelligence (AI). Neural Networks

MS Word Version - Interactive Physiology
MS Word Version - Interactive Physiology

... b. Receives signals from other cells and sends them toward the axon. c. Sum up, or integrate, the incoming signals. d. generates an action potential e. The main nutritional and metabolic region of the neuron. f. The transmitting or conductive region of the neuron. 7. (Page 6.) What are outgoing sign ...
Ascending tracts
Ascending tracts

... Located in the anterior and lateral columns. Carries sensations of pain, temperature, light touch, and pressure. Cell body of the 1st order neurone lies in the dorsal root ganglion . The central process enters the spinal cord through the dorsal root. The 2nd order neuron cell bodies lie in the ...
CHARLES UNIVERSITY
CHARLES UNIVERSITY

... In the present studies, there is a tendency to investigate the role of NMDA/NOS system in epileptiform activity (Schuchmann, 2002). NMDA receptor is a specific type of ionotropic glutamate receptor. These receptors when tonically activated can trigger an excessive increase in intracellular calcium; ...
PDF file
PDF file

... multi-layer network, which learns invariance from experience. The network is biologically inspired (e.g., in-place learning), but is not necessarily biologically fully provable at the current stage of knowledge. The network has multiple layers, later layers take the response from early layers as the ...
Anatomy Review - Interactive Physiology
Anatomy Review - Interactive Physiology

... 9. From incoming signals which are integrated and summed. 10. Synapses 11. In general, the longest axons are associated with the largest cell bodies. 12. Left side of page from top to bottom: axon hillock, axon collaterals. Right side of page: axon terminals. 13. a. axon hillock b. axon collaterals ...
1 Introduction to Nerve Cells and Nervous Systems
1 Introduction to Nerve Cells and Nervous Systems

... is, it controls the composition of its extracellular fluid (ECF) and the supply of oxygen and nutrients to the tissues and the removal of carbon dioxide and metabolites from the tissues. In fact, for the most part, the nervous system controls the endocrine system. Changes in the internal environment ...
Biology - Chpt 14- The Nervous System
Biology - Chpt 14- The Nervous System

... main parts;  The brain  The spinal cord  Nerve fibres It detects stimuli such as light, sounds, temperature, pressure, pain and coordinates the bodies response. Musculoskeletal system & Emergencies ...
Jackson Rancheria Casino Shooting
Jackson Rancheria Casino Shooting

... ____ 4. Bundle of nerve processes inside the CNS. ____ 5. Neuron, serving as part of the conduction pathway between sensory and motor neurons ____ 6. Gaps in a myelin sheath ____ 7. Collection of nerve cell bodies found outside the CNS ____ 8. Neuron that conducts impulses away from the CNS to muscl ...
The NeuronDoctrine: A Revision of Functional
The NeuronDoctrine: A Revision of Functional

... THE CLASSICAL DOCTRINE ...
Electrical Properties of Hypothalamic Neuroendocrine Cells
Electrical Properties of Hypothalamic Neuroendocrine Cells

... T h e action potentials of neuroendocrine cells ranged up to 117 m y and were distinguished by their relatively long duration (3.5 msec.) and, in most cells, by a characteristic notched hyperpolarizing afterpotential. T h e afterpotential had two phases: the first one brief and small and the subsequ ...
The Nanostructure of the Nervous System and the Impact
The Nanostructure of the Nervous System and the Impact

... concentrations extracellularly, enters the cell through Na+ specific ion channels while K+, whose situation is reversed, flows out. Other ions, such as Cl- are also involved. The ion channels are voltage sensitive, so that the activation of channels induces the opening of adjacent channels, thereby ...
Modelling fast stimulus-response association learning along the
Modelling fast stimulus-response association learning along the

... the stimulus and the response which activates motor areas (e.g. Tettamanti, 2005) and sensory areas (e.g. Ganisa et al., 2004). Lower visual areas are activated during certain imagery tasks (Klein et al., 2000), but the detailed cortical mechanisms for this have not been identified. Overall, SR lear ...
Biology 2121 – Lecture Sheet – ANS 1. The autonomic nervous sy
Biology 2121 – Lecture Sheet – ANS 1. The autonomic nervous sy

... Biology 2121 – Lecture Sheet – ANS 1. The autonomic nervous system contains ______________ neurons only. They service organs with ____________ or __________ muscle tissue. 2. The two divisions of the ANS are the __________________ and ____________________ divisions. 3. The term duel innervation mean ...
Document
Document

... (Alvarez et al. (2005). Postnatal phenotype and localization of spinal cord V1 derived interneurons. J. Comp. Neurol. 493, 177-192.) Many RCs are surrounded by GABA receptors throughout development but hardly any express GABA within the soma Therefore, we believe it is highly improbable for any RCs ...
2_28 - UCI Cognitive Science Experiments
2_28 - UCI Cognitive Science Experiments

Stimulation-Induced Functional Decoupling (SIFD)
Stimulation-Induced Functional Decoupling (SIFD)

... A reminder on the Hodgkin-Huxley model • Hodgkin & Huxley (1952): Study of the giant squid axon, measurement of the membrane potential under different stimulation currents + ionic channels hypothesis. ...
Trends in Cognitive Sciences 2007 Bogacz
Trends in Cognitive Sciences 2007 Bogacz

... time (RT) distributions. Thus, if one model that implements SPRT fits behavioural data, all other models (including those on the neural level) can be parameterized to do so equally well (of course, fitting the data does not imply that the model is correct, but discrepancy of the predictions made by ...
Optimal decision-making theories: linking neurobiology with behaviour
Optimal decision-making theories: linking neurobiology with behaviour

... time (RT) distributions. Thus, if one model that implements SPRT fits behavioural data, all other models (including those on the neural level) can be parameterized to do so equally well (of course, fitting the data does not imply that the model is correct, but discrepancy of the predictions made by ...
REM-off
REM-off

... the coordinated response of its parts to any situation or stimulus tending to disturb its normal condition or function. ...
Chapter 11-自律神經及體運動神經系統檔案
Chapter 11-自律神經及體運動神經系統檔案

... postganglionic neurons or endocrine cells in the adrenal medulla. The postganglionic neurons release (NE), which binds to adrenergic receptors on the effector organs. ...
Neuron_glia interaction
Neuron_glia interaction

... - Secrete large complex substances to the ECS: Important as structural elements and cell to cell ...
Chapter 11-自律神經及體運動神經系統檔案
Chapter 11-自律神經及體運動神經系統檔案

... postganglionic neurons or endocrine cells in the adrenal medulla. The postganglionic neurons release (NE), which binds to adrenergic receptors on the effector organs. ...
Modeling the spinal cord neural circuitry controlling cat hindlimb
Modeling the spinal cord neural circuitry controlling cat hindlimb

... state of proprioceptive and exteroceptive information [8]. The neuronal circuits in the mammalian spinal cord can generate rhythmic motor patterns that drive locomotor movements even in the absence of descending inputs from higher brain centers and sensory feedback [3,6]. This supports the concept o ...
Biology and Behavior
Biology and Behavior

... effects of endorphins on the body are also quite similar to the effects produced by the opioid compounds. In fact, the name 'endorphin' is actually the short form for 'endogenous morphine'. Like opioids, endorphins can reduce pain, stress, and promote calmness and serenity. The opioid drugs produce ...
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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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