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Neuroscience: the Science of the Brain
Neuroscience: the Science of the Brain

... The human brain is the most complex organ of the body, and arguably the most complex thing on earth. This booklet is an introduction for young students. In this booklet, we describe what we know about how the brain works and how much there still is to learn. Its study involves scientists and medical ...
Unique features of the human brainstem and cerebellum
Unique features of the human brainstem and cerebellum

... individual variability in the size and shape of a single structure. ...
Sympathetic nervous system
Sympathetic nervous system

Encoding of Rules by Neurons in the Human Dorsolateral Prefrontal
Encoding of Rules by Neurons in the Human Dorsolateral Prefrontal

... concrete, where a particular stimulus prompts an automatic response (e.g. a red traffic light cues us to brake). We can also learn and follow rules that are abstract, wherein a guiding principle is not bound to a specific context and may be generalized to both familiar and novel instances (e.g. unders ...
Hebbian learning - Computer Science | SIU
Hebbian learning - Computer Science | SIU

...  In contrast to supervised learning, unsupervised or self-organised learning does not require an external teacher. During the training session, the neural network receives a number of different input patterns, discovers significant features in these patterns and learns how to classify input data i ...
Integrate-and-Fire Neurons and Networks
Integrate-and-Fire Neurons and Networks

... considered as potentially relevant for coding and information processing. In contrast to more detailed neuron models, integrate-and-fire models do not describe explicitly the form of an action potential. Pulses are treated as formal events. This is no real drawback, since, in a biological spike trai ...
EVOLUTIONARY AUTONOMOUS AGENTS: A NEUROSCIENCE
EVOLUTIONARY AUTONOMOUS AGENTS: A NEUROSCIENCE

... EAA studies typically evolve neurally driven computersimulated animats or robots that solve a variety of cognitive and behavioural tasks. As such, they represent an intuitively appealing approach to modelling and studying biological nervous systems. However, do current studies really begin to realiz ...
PPT
PPT

... Why do we need another paradigm than symbolic AI for building “intelligent” machines? • Symbolic AI is well-suited for representing explicit knowledge that can be appropriately formalized. • However, learning in biological systems is mostly implicit – it is an adaptation process based on uncertain i ...
Framework for Modeling the Cognitive Process
Framework for Modeling the Cognitive Process

SHORT COMMUNICATION Localization of a vocal pattern generator
SHORT COMMUNICATION Localization of a vocal pattern generator

Brain-implantable biomimetic electronics as the next era in neural
Brain-implantable biomimetic electronics as the next era in neural

... Fourth, the resulting microchip or multichip module must communicate with existing, living neural tissue in a bidirectional manner. Given that both electronic and neural systems generate and respond to electrical signals, this is feasible, though the region-specific, nonuniform distribution of neuro ...
Probing forebrain to hindbrain circuit functions in Xenopus
Probing forebrain to hindbrain circuit functions in Xenopus

... mechanisms for primary sex determination. Comparison of neural circuit elements—using a fictively calling preparation—across species from these clades should reveal common and diverged neural circuit mechanisms. Divergence time estimates of Silurana and Xenopus based on Canatella (2015). Phylogeny si ...
The Nervous System
The Nervous System

... nervous system, such as Lou Gehrig’s disease, Alzheimer’s, and Parkinson’s. Some of these diseases harm the brain but leave the rest of the body alone. Others, as in Hawking’s case, weaken or deform the body but leave the parts of the brain involved in thought and creativity alone. The brain’s effec ...
- Wiley Online Library
- Wiley Online Library

... mechanisms for primary sex determination. Comparison of neural circuit elements—using a fictively calling preparation—across species from these clades should reveal common and diverged neural circuit mechanisms. Divergence time estimates of Silurana and Xenopus based on Canatella (2015). Phylogeny si ...
Probing forebrain to hindbrain circuit functions in
Probing forebrain to hindbrain circuit functions in

... mechanisms for primary sex determination. Comparison of neural circuit elements—using a fictively calling preparation—across species from these clades should reveal common and diverged neural circuit mechanisms. Divergence time estimates of Silurana and Xenopus based on Canatella (2015). Phylogeny si ...
Neuroscience: Science of the Brain
Neuroscience: Science of the Brain

... The human brain is the most complex organ of the body, and arguably the most complex thing on earth. This booklet is an introduction for young students. In this booklet, we describe what we know about how the brain works and how much there still is to learn. Its study involves scientists and medical ...
behavior?
behavior?

... male brain weighs about 1.5 kg (about 100 g more than the average female brain) and coninsulates portions of some neurons tains roughly 86 billion neurons, far less than the often cited estimate of 100 billion neurons. in the nervous system In addition to the neurons, the brain contains approximatel ...
PDF
PDF

... neuroprotective functions by differentiated stem cells (Koliatsos et al., 2008). In these therapeutic scenarios, cells differentiating from the graft must establish some type of functional connectivity with host neurons. Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterize ...
as a PDF
as a PDF

Neurotransmitters: Acetylcholine and Dopamine
Neurotransmitters: Acetylcholine and Dopamine

Discrete Modeling of Multi-Transmitter Neural Networks with Neuron
Discrete Modeling of Multi-Transmitter Neural Networks with Neuron

... The main advantage of these models is their expressive power – they describe the processes taking place on a cellular membrane with a high degree of accuracy. However, this advantage turns into a disadvantage: an abundance of parameters, some of which cannot be measured accurately, makes the model ...
University of Groningen Ascending projections from spinal
University of Groningen Ascending projections from spinal

... research, is to learn more about the human central nervous system, possibly contributing to solutions for disease. Although research techniques have been developed to study the living human brain, such as electro encephalograms (EEG), positron emission tomography (PET) and functional magnetic resona ...
Brains, Bodies, and Behavior - 2012 Book Archive
Brains, Bodies, and Behavior - 2012 Book Archive

... Although this chapter begins at a very low level of explanation, and although the topic of study may seem at first to be far from the everyday behaviors that we all engage in, a full understanding of the biology underlying psychological processes is an important cornerstone of your new understanding ...
Synapses and Neurotransmitters
Synapses and Neurotransmitters

... removing the inhibiting effect on action potentials. ...
Algorithms in nature: the convergence of systems biology and
Algorithms in nature: the convergence of systems biology and

... have been established over the last few years that are focused on developing additional computational methods to aid in solving life science’s greatest mysteries. Computer scientists have also relied on biological systems for inspiration, especially when developing optimization methods (Table I). Ea ...
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Artificial general intelligence

Artificial general intelligence (AGI) is the intelligence of a (hypothetical) machine that could successfully perform any intellectual task that a human being can. It is a primary goal of artificial intelligence research and an important topic for science fiction writers and futurists. Artificial general intelligence is also referred to as ""strong AI"", ""full AI"" or as the ability to perform ""general intelligent action"".Some references emphasize a distinction between strong AI and ""applied AI"" (also called ""narrow AI"" or ""weak AI""): the use of software to study or accomplish specific problem solving or reasoning tasks. Weak AI, in contrast to strong AI, does not attempt to perform the full range of human cognitive abilities.
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