Activity of Spiking Neurons Stimulated by External Signals of
... A typical neuron consists of dendrites, soma and axon. Dendrites receive and
deliver signals and act like an “input device”. Soma is the “central processing unit” that
generates a signal if the total input exceeds a certain threshold (about -30 mV) and the
axon transmits the signals to other neurons ...
Copulae and network modeling
... are mathematically simple enough to allow analytical and numerical studies. The use of these
models hints on various neuron features. Typical examples are the role of noise in neural
transmission or the study of the response of the neuron to periodic stimula. Furthermore their
use has allowed the ap ...
... important for visual processing (the later takes up 40% of the brain)
very high visual resolution (& capability for associative and therefore
creative thinking?). Frontal area important for short term working
memory, and planning & integration of thoughts.
... The structure of a neuron. Most neurons in the vertebrate nervous system have several main features in common. The cell body contains the nucleus, the
storehouse of genetic information, and gives rise to two types of cell processes: axons and dendrites. Axons are the transmitting element of neurons; ...
Katie Newhall Synchrony in stochastic pulse-coupled neuronal network models
... Synchrony in stochastic pulse-coupled neuronal network models
Many pulse-coupled dynamical systems possess synchronous attracting states.
Even stochastically driven model networks of Integrate and Fire neurons
demonstrate synchrony over a large range of parameters. We study the interplay
... Kaan Yücel M.D., Ph.D.
Chapter 3 – The nerve cell Study Guide Describe an integrate
... Describe an integrate-and-fire neuron.
What is lateral inhibition and how does it relate to perception?
Explain how sensory and motor regions can be viewed as hierarchies.
Describe the role that reentrant (two-way) connections play in brain function.
What is Neural Darwinism and how does it work?
... A neuron functions by generating an electric charge
in the cell body that propagates down the axon. This
is called an action potential. When a neuron
generates an action potential, we say that that neuron
fires. Action potentials are always the same
Neurons communicate with each other via ...
Introduction to Neural Networks
... What are connectionist neural networks?
• Connectionism refers to a computer modeling
approach to computation that is loosely based
upon the architecture of the brain.
• Many different models:
– Multiple, individual “nodes” or “units” that operate at
the same time (in parallel)
– A network that con ...
ppt - UTK-EECS
... One argument: Instead of understanding the
human brain, we understand the computer.
Therefore, NN dies out in 70s.
1980s, Japan started “the fifth generation
computer research project”, namely,
“knowledge information processing computer
system”. The project aims to improve logical
reasoning to reach ...
Module 4 Neural and Hormonal Systems
... The autonomic nervous system controls our
glands and the muscles of our internal organs,
influencing such functions as glandular activity,
heartbeat, and digestion. It may be consciously
The sympathetic nervous system arouses and
expends energy. Heartrate, blood pressure,
digestion, bloo ...
specimen jar craft - National Wildlife Federation
... The brain is an organ that serves as the center of the nervous system in all vertebrate and most invertebrate animals—only a few invertebrates such as sponges,
jellyfish, adult sea squirts and starfish do not have a brain, even if diffuse neural tissue is present.
It is located in the head, usually ...
... • A FPGA-like neural network device
would be of interest to neuroscience
• Connectivity is also of interest
• Observations support a hybrid of local
and distal connectivity
• More useful with real-time learning
6th Study Guide D1w:ans
... 3. The gap or space between the axon of one neuron and the dendrite of another is called a synapse.
4. The part of the brain that allows you to think is the cerebrum.
5. The sense of smell is closely linked to the sense of taste.
6. The cones are the part of the eye that is sensitive to color.
7. Th ...
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.