• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
Recognition by Variance: Learning Rules for Spatiotemporal Patterns
Recognition by Variance: Learning Rules for Spatiotemporal Patterns

... model. Using a leaky Integrate and Fire realization of the read-out neuron, we demonstrate that the above results also apply when considering spiking output. ...
How the Brain Learns
How the Brain Learns

... (Smilkstein, 2003) All learning is the growing of new dendrites by interconnecting what the reader is learning and what the reader already knows. The physiological functions of learning are the same for everyone. Differences in learning occur not physiologically, but based on what each reader alread ...
Modeling and Detecting Deep Brain Activity with MEG
Modeling and Detecting Deep Brain Activity with MEG

... MEG and EEG source modeling, the cortical grey matter is supposed to support the primary neural currents generating the external signals. The current flow resulting from postsynaptic potentials (PSP) is classically modeled by an equivalent current dipole (ECD). The ECD is oriented along the directio ...
Chapter 13
Chapter 13

... Long Term Potentiation and Long-Term Depression • Long-Term Depression • Apparently, neural circuits that contain memories are established by strengthening some synapses and weakening others. • Dudek and Bear (1992) stimulated Schaffer collateral inputs to CA1 neurons in hippocampal slices with 900 ...
Ch 27 Neurones and Neural Pathways
Ch 27 Neurones and Neural Pathways

... Excitatory and inhibitory signals In the CNS, one postsynaptic neurone normally forms synapses with many presynaptic axons from several different neurones At some of these synapses, the receptor sites in the postsynaptic membrane respond to the arrival of neurotransmitter( e.g. acetylcholine) by ha ...
A Cellular Structure for Online Routing of Digital Spiking Neuron
A Cellular Structure for Online Routing of Digital Spiking Neuron

... resources at a lower level, leading to fine-grained system interactions, low-level parallelism, and a biologically more plausible approach compared to traditional evolutionary computation. Two major subtleties of this kind are the particular structure of the brain and the malleability of its structur ...
the pain process
the pain process

... portion of the nervous system. Pathologic pain can be further divided into categories such as nociceptive (peripheral tissue injury), neuropathic (damage to peripheral nerves or spinal cord), visceral (stimulation of pain receptors in the thoracic or abdominal viscera), and somatic (injury to tissue ...
Nerve
Nerve

... Types of neurons • Multipolar have many dendrites and one axon • most common in human body • motor neurons that innervate muscles and glands Dendrites Dendrites ...
Progress Report – Glover
Progress Report – Glover

... central nervous system using timed applications of the thymidine analog BrdU. Through this work, we now know when neurons are born in the different parts of the nervous system, important information for future experiments aimed at exploring the role of various genes in specifying neuron types. This ...
THE NERVOUS SYSTEM CONCEPT 2: THE VERTEBRATE BRAIN
THE NERVOUS SYSTEM CONCEPT 2: THE VERTEBRATE BRAIN

... sensory information. It also sends coded sensory information along neurons to specific regions of the forebrain. All sensory axons involved in hearing either terminate in the midbrain or pass through it on their way to the cerebrum. The midbrain coordinates visual reflexes, such as the peripheral vi ...
File parts of the brain
File parts of the brain

...  It’s wartime and you are hiding in the basement with a group of townspeople. Enemy soldiers are outside. Your baby starts to cry loudly; if nothing is done, the soldiers will find you and kill everyone including the baby. The only way to prevent this loss of life is to cover the baby’s mouth; if ...
Fading memory and kernel properties of generic cortical microcircuit
Fading memory and kernel properties of generic cortical microcircuit

... discussed neural coding schemes). Furthermore, the concept of ‘‘neural coding’’ suggests an agreement between ‘‘encoder’’ (the neural circuit) and ‘‘decoder’’ (a neural readout) which is not really needed, as long as the information is encoded in a way so that a generic neural readout can be trained ...
Shedding Light on the Role of Ventral Tegmental Area Dopamine in
Shedding Light on the Role of Ventral Tegmental Area Dopamine in

... they do not clarify potential causal roles DA may play specifically in Pavlovian learning mechanisms. Going forward from this research, it will be important to develop experiments that (1) carefully examine DA’s role in instrumental versus Pavlovian learning while isolating learning mechanisms from ...
The Peripheral Nervous System The P.N.S.
The Peripheral Nervous System The P.N.S.

... 2) What two types of nerves exist and what are 2 differences between them? 3) What 3 types of neurons are involved in reflex responses and in what order do nerve impulses travel through them? 4) What is the difference between a voluntary movement such as walking and an involuntary movement such as a ...
Electrical membrane properties of rat subthalamic neurons in an in
Electrical membrane properties of rat subthalamic neurons in an in

... neurons produced either repetitive or burst discharges. The duration of action potentials was about 1 ms. When neurons with a membrane potential of 40-65 mV were activated by the rejection of current pulses, single or repetitive action potentials were generated either from passive depolarization (Fi ...
View PDF - CiteSeerX
View PDF - CiteSeerX

... procedure used with humans, participants were instructed to watch as a blue square appeared on a computer screen and to be “aware” of the amount of time that passed (either 8,12, or 21sec) before the square changed color (the criterion duration). After several training trials, participants were inst ...
THE CENTRAL NERVOUS SYSTEM
THE CENTRAL NERVOUS SYSTEM

... one another. In a synapse, the neuron that sends the signal is the presynaptic neuron and the target cell receives that signal is the postsynaptic neuron or cell. Synapses can be either electrical or chemical. Electrical synapses are characterized by the formation of gap junctions that allow ions an ...
Nervous
Nervous

... “Gateway to cerebral cortex” Most sensory stimuli project to the thalamus, which in turn projects to the cerebrum. Thalamus also influences moods and activities associated with strong emotion. (Two concepts: Sensory integration and Mood) ...
Department of Electrical and Computer Engineering University of
Department of Electrical and Computer Engineering University of

... potentials though Na+ entry and K+ exit) and that communicated to one another through simple excitatory, and perhaps inhibitory, connections. Interestingly, the detailed investigation of neurons at all levels of the nervous system (including all levels of the animal kingdom and even some plants) rev ...
SELF AND OTHER
SELF AND OTHER

... Left: the brain of an experienced Tibetan meditator shows decreased activity in the parietal lobe (on the right side) when he meditates. Right: the same person's brain during normal activity ...
Slide 1
Slide 1

... This area is remodeled during adolescence until the age of 25 and is very important for wellbeing; it coordinates the brain/body and inter-personal world as a whole ...
PDF file - Izhikevich
PDF file - Izhikevich

... neurons, each making thousands of synaptic contacts with its neighbors. Given the complexity of the connectivity inherent in cortical anatomy, efforts to describe the pattern of electrical activity in exact detail within even a highly localized population of cortical neurons would be extremely diffi ...
Loading “EBSCOhost”
Loading “EBSCOhost”

... http://web.ebscohost.com/ehost/delivery?vid=8&hid=104&sid=7d847e1c-c834-4ceb-a47b-7bcf28470435%40sessionmgr104 ...
WHY HAVE MULTIPLE CORTICAL AREAS?
WHY HAVE MULTIPLE CORTICAL AREAS?

Worksheet for Morgan/Carter Laboratory #24
Worksheet for Morgan/Carter Laboratory #24

... purpose of this muscle? ...
< 1 ... 243 244 245 246 247 248 249 250 251 ... 523 >

Nervous system network models

Network of human nervous system comprises nodes (for example, neurons) that are connected by links (for example, synapses). The connectivity may be viewed anatomically, functionally, or electrophysiologically. These are presented in several Wikipedia articles that include Connectionism (a.k.a. Parallel Distributed Processing (PDP)), Biological neural network, Artificial neural network (a.k.a. Neural network), Computational neuroscience, as well as in several books by Ascoli, G. A. (2002), Sterratt, D., Graham, B., Gillies, A., & Willshaw, D. (2011), Gerstner, W., & Kistler, W. (2002), and Rumelhart, J. L., McClelland, J. L., and PDP Research Group (1986) among others. The focus of this article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective and connectivity is chosen, the models are developed at microscopic (ion and neuron), mesoscopic (functional or population), or macroscopic (system) levels. Computational modeling refers to models that are developed using computing tools.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report