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Neurons and Astrocytes
Neurons and Astrocytes

... If our neurons had to think about every little thing that we did, it would be all too overwhelming. This is where the astrocytes come in. If something happens numerous times the astrocytes say “let’s not think about this” and we flick into an auto-pilot type of operation. 98% of life we are in a sub ...
Self Assessment Chapter 11 part 2 - CM
Self Assessment Chapter 11 part 2 - CM

... flowing into axon and potassium begins exiting axon as repolarization begins 4. Sodium ion channels return to resting state and repolarization continues ...
Artificial Neural Networks
Artificial Neural Networks

... •Its output, in turn, can serve as input to other units. •The weighted sum is called the net input to unit i, often written neti. •Note that wij refers to the weight from unit j to unit i (not the other way around). •The function f is the unit's activation function. In the simplest case, f is the id ...
LTP
LTP

... • "when an axon of cell A ... excite a cell B and repeatedly or persistently takes part in firing it, some growth process or metabolic change takes place in one or both cells such that A's efficiency, as one of the cells firing B, is increased" (Hebb, 1949) • Cells that fire together, wire together ...
Journal of Cognitive Neuroscience 10:1
Journal of Cognitive Neuroscience 10:1

... either the movement vector output by the network or by computing a population vector based on the outputs of individual recurrent neurons. The steady-state errors for direction and magnitude were small. For example, the average direction error of the population vector was 14° with a standard deviati ...
Nervous System Lecture- Part II
Nervous System Lecture- Part II

... Prevent leakage of electrical current Increase the speed of impulse conduction Nodes of Ranvier – gaps along axon Thick axons are myelinated Thin axons are unmyelinated, conduct impulses more slowly Myelin Sheaths in the PNS Myalin sheaths formed by Schwann cells (neurolemmacytes) Develop during fet ...
1 How the Nervous System Works
1 How the Nervous System Works

... synapse between the axon tip of one neuron and the dendrite of another neuron. Notice that a small gap separates these two structures. For a nerve impulse to be carried along at a synapse, it must cross the gap between the axon and the next structure. The axon tips release chemicals that carry the i ...
11 - Dr. Jerry Cronin
11 - Dr. Jerry Cronin

... vesicles to release neurotransmitter by exocytosis 4 Neurotransmitter diffuses across the synaptic cleft and binds to specific receptors on the postsynaptic membrane. ...
Notes of Neuronal Firing
Notes of Neuronal Firing

... The real cell has similar concentration gradients of Na+ and K+ across the membrane. However, when the membrane is resting, K+ is about 25 times more permeable than Na+. Both K+ and Na+ will move down their concentration gradients but in opposite directions. This movement of K+ out of the cell, and ...
nervous system - Cloudfront.net
nervous system - Cloudfront.net

... How do signals move through the nervous system? • The nervous system translates environmental information into electrical signals. • A neuron is a special cell that moves messages in the form of fast-moving electrical energy. • These messages are called impulses. ...
Nervous Systems
Nervous Systems

... Resting state: Voltage-gated Na and K channels are closed; resting potential is maintained by ungated channels (not shown). ...
Slide 1
Slide 1

... Resting state: Voltage-gated Na and K channels are closed; resting potential is maintained by ungated channels (not shown). ...
Resting membrane potential is
Resting membrane potential is

... • The all or none feature of action potential implies that stimulus less than certain threshold level of depolarization results in a graded response which would not be transferred. However a stimulus big enough to move the membrane potential beyond the threshold will generate action potential that c ...
No Slide Title
No Slide Title

... • specific areas of the cerebral cortex receive somatic sensory input from various parts of the body • precise localization of these somatic sensations occurs when they arrive at the primary somatosensory area • some regions provide input to large regions of this area (e.g. cheeks, lips, face and to ...
NERVOUS SYSTEM1.ppt [Recovered]
NERVOUS SYSTEM1.ppt [Recovered]

... this technique provided the technology. Using a suction electrode (glass micropipette in top right) to suck onto a piece of membrane, which by gentle pulling breaks away but, remains on the end of the pipette. This isolates some channels, shown here as two black channels. Now, by changing the concen ...
Optimal Neural Spike Classification
Optimal Neural Spike Classification

... N I , ... , N n represent the different neurons. The detection algorithm tells us only that at least one spike occurred in the narrow interval (t - TI,t + T 2) (= say 1) where t is the instant of the peak of the detected spike, TI and T2 are constants chosen subjectively according to the smallest po ...
Cellular and network mechanisms of electrographic
Cellular and network mechanisms of electrographic

... exhibited periodic bursting after [K+]o increase in a single model cell; however, the bursts occurred at a very low frequency (every 10–15 s) which might be attributed to the lack of IK(Ca) in that model. Incorporation of [K+]o regulation mechanisms in standard models of cortical pyramidal cells and ...
Introduction_to_the_Nervous_System1
Introduction_to_the_Nervous_System1

... our receptors. For example, we are not aware of the O2 tension of our blood; but receptors convey this information to the brain 24 hours a day.) We recognize that we can think; we recognize that there can be a state of dreaming, that there are mechanisms of attention in which awareness of certain st ...
Lecture 3 NS_2015
Lecture 3 NS_2015

... - most of the synapses used in the CNS for signal transmission - the first neuron (presynaptic) secretes at its nerve ending a chemical substance – neurotransmitter / transmitter substance, that diffuses into the synaptic cleft to act on receptor proteins in the membrane of the next neuron (postsyna ...
6. Peripheral Nervous System
6. Peripheral Nervous System

... Central Nervous System (Brain and Spinal Cord) ...
Nervous System Lecture- Part II
Nervous System Lecture- Part II

... Prevent leakage of electrical current Increase the speed of impulse conduction Nodes of Ranvier – gaps along axon Thick axons are myelinated Thin axons are unmyelinated, conduct impulses more slowly Myelin Sheaths in the PNS Myalin sheaths formed by Schwann cells (neurolemmacytes) Develop during fet ...
Systems Neuroscience - College of William and Mary
Systems Neuroscience - College of William and Mary

... Breathing is an especially advantageous model system for this type of analysis because it is a behavior that can be studied under controlled conditions in vitro, using reduced brain stem 'slice' preparations. Our 'breathing slices' retain functional respiratory networks and generate spontaneous moto ...
ssep anatomy handout
ssep anatomy handout

... information about touch, pressure, position, joint sense and vibration. The fibers in the dorsal column terminate in the brainstem at the level of the medulla. Precentral gyrus (also called the motor strip)- controls motor function to the corresponding areas of the contralateral body, located in fro ...
Optogenetics: Molecular and Optical Tools for Controlling Life with
Optogenetics: Molecular and Optical Tools for Controlling Life with

... expressed in neurons, enable the electrical potentials of the neurons to be controlled in a temporally precise fashion by brief pulses of light. Some of the molecules enable the neurons to be electrically activated, and others enable the neurons to be electrically silenced. Because the tools are gen ...
Bio 103 Nervous System
Bio 103 Nervous System

... - regions that are not primary motor or sensory areas - widespread throughout the cerebral cortex - analyze and interpret sensory experiences ...
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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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