Cognitive neuroscience is an academic field concerned with the scientific study of biological substrates underlying
cognition,
[1] with a specific focus on the neural substrates of mental processes. It addresses the questions of how psychological/cognitive functions are produced by the brain. Cognitive neuroscience is a branch of both
psychology and
neuroscience, overlapping with disciplines such as
physiological psychology,
cognitive psychology and
neuropsychology.
[2] Cognitive neuroscience relies upon theories in
cognitive science coupled with evidence from
neuropsychology, and
computational modelling.
[2]
Due to its multidisciplinary nature, cognitive neuroscientists may have various backgrounds. Other than the associated disciplines just mentioned, cognitive neuroscientists may have backgrounds in these disciplines: neurobiology,
bioengineering,
psychiatry,
neurology,
physics,
computer science,
linguistics,
philosophy and
mathematics.
Methods employed in cognitive neuroscience include experimental paradigms from
psychophysics and
cognitive psychology,
functional neuroimaging,
electrophysiology,
cognitive genomics and
behavioral genetics. Studies of patients with cognitive deficits due to brain
lesions constitute an important aspect of cognitive neuroscience (see
neuropsychology). Theoretical approaches include
computational neuroscience and
cognitive psychology.
[edit] Historical origins
Although the task of cognitive neuroscience is to describe how the brain creates the mind, historically it has progressed by investigating how a certain area of the brain supports a given mental faculty. In other words, for most of its history, the biggest question of cognitive neuroscience was "Where?" We could begin with Aristotle, who argued that sensory information went from the senses to the heart, which he thought was the seat of reason. Later observers correctly identified the brain as the biological substrate for thinking. However, early efforts to subdivide the brain proved problematic. The phrenologist movement failed to supply a scientific basis for their theories and has since been rejected. However, the phrenological assumption that specific areas of the brain conduct specific functions still applies. The modern evidence for this specificity (sometimes called modularity) includes direct recording from single neurons, case studies of patients with brain damage or disease, recording of electrical or magnetic activity in the brain through advanced scanning techniques, and even direct manipulation of brain activity.
A page from the
American Phrenological Journal
[edit] Phrenology
The first roots of cognitive neuroscience lie in phrenology, which was a
pseudoscientific approach that claimed that behavior could be determined by the shape of the
scalp. In the early 19th century,
Franz Joseph Gall and
J. G. Spurzheim believed that the
human brain was localized into approximately 35 different sections. In his book,
The Anatomy and Physiology of the Nervous System in General, and of the Brain in Particular, Gall claimed that a larger bump in one of these areas meant that that area of the brain was used more frequently by that person. This theory gained significant public attention, leading to the publication of phrenology journals and the creation of phrenometers, which measured the bumps on a human subject's head. While phrenology remained a fixture at fairs and carnivals, it did not enjoy wide acceptance within the scientific community.
[edit] Aggregate field view
Pierre Flourens, a
French experimental psychologist, was one of many scientists that challenged the views of the phrenologists. Through his study of living
rabbits and
pigeons, he discovered that
lesions to particular areas of the brain produced no discernible change in behavior. He proposed the theory that the brain is an aggregate field, meaning that different areas of the brain participated in behavior.
[edit] Localizationist view
Studies performed in Europe by scientists such as
John Hughlings Jackson caused the localizationist view to re-emerge as the primary view of behavior. Jackson studied patients with
brain damage, particularly those with
epilepsy. He discovered that the epileptic patients often made the same
clonic and tonic movements of muscle during their seizures, leading Jackson to believe that they must be occurring in the same place every time. Jackson proposed that specific functions were localized to specific areas of the brain,
[3] which was critical to future understanding of the
brain lobes.
[edit] Emergence of neuropsychology
Broca's area and Wernicke's area.
In 1861, French neurologist
Paul Broca came across a man who was able to understand language but unable to speak. The man could only produce the sound "tan". It was later discovered that the man had damage to an area of his left frontal lobe now known as
Broca's area.
Carl Wernicke, a
German neurologist, found a similar patient, except that this patient could speak fluently but non-sensibly. The patient had been the victim of a
stroke, and could not understand spoken or written language. This patient had a lesion in the area where the left parietal and temporal lobes meet, now known as
Wernicke's area. These cases strongly supported the localizationists' views, because a lesion caused a specific behavioral change in both of these patients. The studies of Broca and Wernicke spawned a new research field, which studies the relationship between psychological phenomena and lesions (or otherwise induced deficits) of the brain: neuropsychology.
[edit] Mapping the brain
In 1870, German physicians
Eduard Hitzig and
Gustav Fritsch published their findings about the behavior of animals. Hitzig and Fritsch ran an electrical current through the
cerebral cortex of a
dog, causing the dog to produce characteristic movements based on where the current was applied. Since different areas produced different movements, the physicians concluded that behavior was rooted at the cellular level. German
neuroanatomist Korbinian Brodmann used tissue staining techniques developed by
Franz Nissl to see the different types of cells in the brain. Through this study, Brodmann concluded in 1909 that the human brain consisted of fifty-two distinct areas, now named
Brodmann areas. Many of Brodmann's distinctions were very accurate, such as differentiating
Brodmann area 17 from
Brodmann area 18.
[edit] Neuron doctrine
In the early 20th century,
Santiago Ramón y Cajal and
Camillo Golgi began working on the structure of the neuron. Golgi developed a
silver staining method that could entirely stain several cells in a particular area, leading him to believe that neurons were directly connected with each other in one
cytoplasm. Cajal challenged this view after staining areas of the brain that had less
myelin and discovering that neurons were discrete cells. Cajal also discovered that cells transmit electrical signals down the neuron in one direction only. Both Golgi and Cajal were awarded a
Nobel Prize in Physiology or Medicine in 1906 for this work on the neuron doctrine. The neuron doctrine has ever since provided a fundamental theory for understanding
neurophysiology.
[edit] Emergence of a new discipline
[edit] Birth of cognitive science
On September 11, 1956, a large-scale meeting of
cognitivists took place at the
Massachusetts Institute of Technology.
George A. Miller presented his "
The Magical Number Seven, Plus or Minus Two" paper while
Noam Chomsky and
Newell &
Simon presented their findings on
computer science.
Ulric Neisser commented on many of the findings at this meeting in his 1967 book
Cognitive Psychology. The term "psychology" had been waning in the 1950s and 1960s, causing the field to be referred to as "cognitive science". Behaviorists such as Miller began to focus on the representation of language rather than general behavior.
David Marr's proposal of the hierarchical representation of memory caused many psychologists to embrace the idea that mental skills required significant processing in the brain, including
algorithms.
[edit] Combining neuroscience and cognitive science
Before the 1980s, interaction between neuroscience and cognitive science was scarce.
The term 'cognitive neuroscience' was coined by George Miller and Michael Gazzaniga[4] "in the back seat of a New York City taxi"[5] toward the end of the 1970s. Cognitive neuroscience began to integrate the newly laid theoretical ground in cognitive science, that emerged between the 1950s and 1960s, with approaches in experimental psychology, neuropsychology and neuroscience. (Neuroscience was not established as a unified discipline until 1971[6]). In the very late 20th century new technologies evolved that are now the mainstay of the methodology of cognitive neuroscience, including TMS (1985) and fMRI (1991). Earlier methods used in cognitive neuroscience includes EEG (human EEG 1920) and MEG (1968). Occasionally cognitive neuroscientists utilize other brain imaging methods such as PET and SPECT. An upcoming technique in neuroscience is NIRS which uses light absorption to calculate changes in oxy- and deoxyhemoglobin in cortical areas. In some animals Single-unit recording can be used. Other methods include microneurography, facial EMG, and eye-tracking. Integrative neuroscience attempts to consolidate data in databases, and form unified descriptive models from various fields and scales: biology, psychology, anatomy, and clinical practice.
[edit] Recent trends
One of the most significant recent trends in cognitive neuroscience is that the focuses of research have gradually expanded from the localization of brain area(s) for a specific function in the adult brain using a single technology, studies have been diverging in several different directions
[7] such as monitoring REM sleep via polygraphy, a machine that is capable of taking down the electrical activity of brain while sleeping.
[edit] Cognitive neuroscience topics
[edit] Cognitive neuroscience methods
Experimental methods of specific psychology fields include:
[edit] Related WikiBooks
[edit] See also
[edit] References
- Churchland, P.S. & Sejnowski, T.J. (1992). The Computational Brain, The MIT Press, ISBN 0-262-03188-4.
- Code, C. (1996). Classic Cases: Ancient & Modern Milestones in the Development of Neuropsychological Science. In: Code, C. et al. Classic Cases in Neuropsychology.
- Gazzaniga, M. S., Ivry, R. B. & Mangun, G. R. (2002). Cognitive Neuroscience: The biology of the mind (2nd ed.). New York: W.W.Norton.
- Gazzaniga, M. S., The Cognitive Neurosciences III, (2004), The MIT Press, ISBN 0-262-07254-8
- Gazzaniga, M. S., Ed. (1999). Conversations in the Cognitive Neurosciences, The MIT Press, ISBN 0-262-57117-X.
- Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81-97
- Parkin, A.J. (1996). Explorations in Cognitive Neuropsychology, pp. 1–23.
- Sternberg, Eliezer J. Are You a Machine? The Brain, the Mind and What it Means to be Human. Amherst, NY: Prometheus Books.
- Ward, Jamie (2006). The Student's Guide to Cognitive Neuroscience. Psychology Press. ISBN 978-1-84169-535-8. http://www.psypress.com/ward.
- Handbook of Functional Neuroimaging of Cognition By Roberto Cabeza, Alan Kingstone
- Principles of neural science By Eric R. Kandel, James H. Schwartz, Thomas M. Jessell
- The Cognitive Neuroscience of Memory By Amanda Parker, Edward L. Wilding, Timothy J. Bussey
- Neuronal Theories of the Brain By Christof Koch, Joel L. Davis
- Cambridge Handbook of Thinking and Reasoning By Keith James Holyoak, Robert G. Morrison
- Handbook of Mathematical Cognition By Jamie I. D. Campbell
- Cognitive Psychology By Michael W. Eysenck, Mark T. Keane
- Development of Intelligence By Mike Anderson
- Development of Mental Processing By Andreas Demetriou, et. al.
- Memory and Thinking By Robert H. Logie, K. J. Gilhooly
- Memory Capacity By Nelson Cowan
- Proceedings of the Nineteenth Annual Conference of the Cognitive Science
- Models of Working Memory By Akira Miyake, Priti Shah
- Memory and Thinking By Robert H. Logie, K. J. Gilhooly
- Variation in Working Memory By Andrew R. A. Conway, et. al.
- Memory Capacity By Nelson Cowan
- Cognition and Intelligence By Robert J. Sternberg, Jean E. Pretz
- General Factor of Intelligence By Robert J. Sternberg, Elena Grigorenko
- Neurological Basis of Learning, Development and Discovery By Anton E. Lawson
- Memory and Human Cognition By John T. E. Richardson
- Enersen, O. D. (2009). John Hughlings Jackson. In: Who Named It. http://www.whonamedit.com/doctor.cfm/2766.html Retrieved 14 August 2009
- Society for Neuroscience. http://www.sfn.org/index.cfm?pagename=about_sfn#timeline Retrieved 14 August 2009
- Keiji Tanaka,"Current Opinion in Neurobiology", (2007)
[edit] Further reading (Academic journals)
- Acoustical Society of America
- American Journal of Audiology
- Attention, Perception, and Psychophysics
- Auditory Research
- Behavioural Neuroscience
- Behavioural Brain Research
- Brain
- Brain Research
- Cerebral Cortex
- Clinical and Experimental Neuropsychology
- Clinical Neuropharmacology
- Clinical Neurophysiology
- Clinical Neuropsychology
- Clinical Neuroscience Research
- Clinical Neuroscience
- Cognition
- Cognitive Brain Research
- Cognitive Psychology
- Cognitive Neuroscience
- Consciousness and Cognition
- Current Opinion in Neurobiology
- Developmental Brain Research
- Emotion
- Electroencephalography and Clinical Neurophysiology
- European Journal of Neuroscience
- Experimental Neurology
- Experimental Psychology
- Glia
- IEEE Transactions on Neural Networks
- Hearing Research
- Hippocampus
- Human Brain Mapping
- Human Neurobiology
- Intelligence
- Journal of Cognitive Neuroscience
- Journal of Computational Neuroscience
- Journal of Experimental Psychology: Human Perception and Performance
- Journal of Experimental Psychology: Learning, Memory, & Cognition
- Journal of Neurobiology
- Journal of Neuroscience
- Journal of Neuroscience Methods
- Journal of Neurophysiology
- Journal of Vision
- Memory and Language
- Nature
- Nature Neuroscience
- Neural Computation
- Neural Networks
- Neural Systems
- Neurobiology of Aging
- Neurochemical Research
- Neurocomputing
- NeuroImage
- Neuron
- Neuropsychologia
- Neuropsychology
- Neuropsychopharmacology
- NeuroReport
- Neuroscience
- Neuroscience Letters
- Neuroscience Research
- Optical Society of America
- Otology and Neurotology
- Perception
- PLoS One
- PLoS Biology
- Psychological Science
- Progress in Brain Research
- Progress in Neurobiology
- Psychological Review
- Quarterly Journal of Experimental Psychology
- Science
- Social neuroscience
- Synapse
- Trends in Neurosciences
- Trends in Cognitive Sciences
- Vision
- Vision Research
- Visual Cognition
- Visual Neuroscience
[edit] External links
This is great post.If you can still the information and data that is still to be gathered on neural networks then you understand the enormity of the task ahead. Cognitive Neuroscience
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