Basic Concepts in Cognitive Science Flashcards
Phrenology
It tried to describe the mind based the on assumptions on the anatomical structure of the brain.
* The brain as the center of thought
* Modular organization of the
brain into anatomical regions
* Functional specialization of
individual brain regions
Brodman areas
In 1907, the German neurologist Korbinian Brodman proposed to divide the cerebral cortex into 52 different regions based on cytoarchitectonic properties
Magnetic Resonance Imaging (MRI)
imaging the anatomic structure of tissue in vivo. It
is an active sensing method based on the magnetic
properties of hydrogen atoms that dissipate energy
differently depending on the surrounding tissue
Diffusion Tensor Imaging (DTI)
DTI is an extension of MRI that measures the diffusion movement of water molecules and thereby can detect nerve fibers.
Electroencephalography (EEG) and Magnetoencephalography (MEG)
EEG and MEG enable the non-invasive monitoring of brain activity at high temporal resolution. While EEG measurements are based on measuring the electrical potentials resulting from neural activity via electrodes placed on the skull, MEG detects the corresponding magnetic field.
Positron Emission Tomography (PET) and Single-Photon Emission Computer Tomography
(SPECT)
PET and SPECT are nuclear imaging techniques that require medication with radiotracers.
Brain activity is monitored implicitly by observing the regional cerebral blood flow.
Functional MRI (fMRI)
fMRI is an extension of MRI that visualizes changes of the blood oxygen level caused by brain activity elicited through external stimuli or cognitive processing at high spatial resolution.
Motor and Sensory Regions of the Cerebral Cortex
Slide 78!
Cognitive Science unites Relevant Fields of Research
Engineering, Natural Sciences, Humanities
Different degrees of
biological realism of cognitive systems
Computational Models
Purely computational models implement cognitive functions solely based on a
functional view of the system without any reference to biology.
Bio-Inspired Models
Bio-inspired models implement cognitive functions by replicating known or
hypothesized mechanisms of cognitive processing from biological organisms.
Hybrid Models
Hybrid models combine computational and bio-inspired modeling.
Computational vs. Bio-Inspired Modeling
Slide 82
The Ultimate-Proximate Distinction
The ultimate explanation: Why does a cognitive system exhibit a certain behavior?
The proximate explanation: How is a certain behavior implemented in a cognitive system?
Ultimate explanations are concerned with why a behavior exists, and proximate explanations are concerned with how it works.
Levels of Abstraction in Cognitive Modeling
Computational Theory
High-level description of the system that states the goal of the computation and
the logic of the strategy by which it is carried out.
Representation and Algorithms
Realization of the computational theory in terms of input, output, representations and algorithms that perform the required transformations.
Hardware Implementation
Physical implementation of the representations and algorithms.
Name of Artificial Intelligence with focus on cognition
Artificial General Intelligence
Cognitivist Systems vs Emergent Systems
Cognitive functions are modelled as working computer programs
Emergent cognitive models, cognition is a continuous self-organizing process that is driven by the interaction between the agent and its environment.