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The neuronal ceroid lipofuscinoses: the same, but different?
The neuronal ceroid lipofuscinoses: the same, but different?

... of mutations in these disease-causing genes may have radically different consequences. A key consideration is whether these phenotypes observed in mice are also present in a more complex CNS (central nervous system), most importantly in the human disease. In this respect, large animal models of NCL ...
To Be or Not to Be … an Inhibitory Neurotransmitter
To Be or Not to Be … an Inhibitory Neurotransmitter

... “You must need a small Microphone to record them chatting away.” “Not sound,” Jessica replied. “You record electrical activity with a small electrode stuck into the cell. Every time I stimulate them with neurotransmitter I get some spikes.” She flipped through a couple of open windows on her laptop ...
Competitive Dynamics in Cortical Responses to Visual Stimuli
Competitive Dynamics in Cortical Responses to Visual Stimuli

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Ch9. Motor System

... • Noxious cutaneous information can result in a withdrawl reflex ...
Membrane Domains and Membrane Potential
Membrane Domains and Membrane Potential

... membrane potential will return to the resting potential. If the neuron is at resting potential (-70mV) and the conductance to K+ increases, the membrane potential will be hyperpolarized (it will move toward -90mV). Transmission along the axon of a neuron occurs due to sequential activation of voltag ...
Sheet#6 Motor system
Sheet#6 Motor system

... *Motor neurons are present in the anterior gray horn of the spinal cord (where a neuron cell body is found), the axon of each neuron then travels to muscles for excitation. -Small motor unit >>>control small fibers and big motor unit>>>control big fibers. *There are several ways a motor neuron can b ...
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... 3) Motor neurons: pass messages from the nervous system to the other tissues in the body, such as muscles ...
Module_3vs9_Final - Doral Academy Preparatory
Module_3vs9_Final - Doral Academy Preparatory

... • Central nervous system – Made up of neurons located in the ______________________________ ...
NEURAL NETWORKS AND FUZZY SYSTEMS
NEURAL NETWORKS AND FUZZY SYSTEMS

... 3.3 ADDITIVE ACTIVATION MODELS Define additive activation model n+p coupled first-order differential equations defines the additive activation model ...
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My Secret Role in True Happiness: A Story of a Neuron

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Organization of the Autonomic Nervous System LEARNING

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Lesson 33 - UBC Zoology
Lesson 33 - UBC Zoology

... There are dorsal and ventral extensions of the grey matter - the dorsal and ventral horns. The dorsal horn contains the cell bodies of neurons receiving incoming sensory information, which they distribute elsewhere in the cord or to the brain. The ventral horns contain cell bodies of motor neurons ...
Artificial neural network model for river flow forecasting
Artificial neural network model for river flow forecasting

... limited number of studies dealing with river flow forecasting on the Blue Nile. Examples of these studies can be found in Grijsen et al. (1992), Elmahi & O’Connor (1995), Shamseldin et al. (1999), Shamseldin & O’Connor (2003) and Antar et al. (2005). Thus, this paper will shed more light on potentia ...
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... in the ventral visual pathway [2]. How the brain creates prediction signals in general relates to the fundamental question of how the brain represents time. Buonomano [4] discussed the two prevalent views of how this may be – “labeled lines”, in which each neuron’s firing can represent events on dif ...
A mathematical model on REM-NREM cycle
A mathematical model on REM-NREM cycle

... amplifying and one resonant current. Some mechanisms have one resonant and one amplifying current. So, many models focused on system of equations where the variables involved are these currents. They made correspondences between resting, excitable, and periodic spiking activity to a stable equilibri ...
315midterm - Rocky Mountain College
315midterm - Rocky Mountain College

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    Self-Organizing Map Considering False Neighboring Neuron
    Self-Organizing Map Considering False Neighboring Neuron

    ... Then, the Self-Organizing Map (SOM) has attracted attention for its clustering properties. SOM is an unsupervised neural network introduced by Kohonen in 1982 [1] and is a model simplifying self-organization process of the brain. SOM obtains statistical feature of input data and is applied to a wide ...
    Adaptation of Firing Rate and Spike
    Adaptation of Firing Rate and Spike

    ... contains neurons with low to middle characteristic frequencies (⬃500 –2000 Hz) (Rubel and Parks, 1975). Cells were accepted for analysis if the resting membrane potential was more negative than ⫺55 mV. NM neurons increase firing rate in response to noisy depolarizing current To investigate the possi ...
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    LETTER RECOGNITION USING BACKPROPAGATION ALGORITHM
    LETTER RECOGNITION USING BACKPROPAGATION ALGORITHM

    ... input/output as a result of changes that happens in its environment. Since activation algorithm usually determined during development of the neural network, plus input/output cannot be changed, we have to adjust the value of the weights associated with the inputs in order to change their behavior. O ...
    Millisecond-Timescale Optical Control of Neural Dynamics in the
    Millisecond-Timescale Optical Control of Neural Dynamics in the

    ... rates increased rapidly at light onset, and then settled to a lower steady-state firing level (Figure 3H). For suppressed units, firing rates fell sharply after a short delay, and remained low for the duration of the light pulse (Figure 3J). For both excited and suppressed units, after light cessati ...
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    ANS_jh - Fullfrontalanatomy.com

    ... branch to the skin Ascend or descend within sympathetic trunk, synapse with a posganglionic neuron within a chain ganglion, and return to spinal nerve at that level and follow branches to skin Enter sympathetic chain, pass through without ...
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    Asynchronous state

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    < 1 ... 100 101 102 103 104 105 106 107 108 ... 265 >

    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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