Chapter 1:
Interdisciplinary: the study of multiple concepts as one
The big 6: Philosophy, computer science, psychology, linguistics, neuroscience, anthropology
Information processing: an approach that aims to explain how information is encoded into memory
Representation: represent information about the world around us
Bearer: a computational structure or state that realizes a mental representation
Content: refers to the “what” that a mental representation stands for
Referent: a real-world object or property that a representation stands for
Grounding: the capacity to interact autonomously with that world of objects, events, actions, properties and states that their symbols are systematically interpretable
Interpretability: the degree to which a human can predict the outcome of a model or understand the reasons behind its decisions
Computation: act on, manipulate, and transform information
Input: the information that is received by the brain
Processing: the active manipulation and transformation within the mind
Output: the result of a computation, or the information that is conscious to a person
Chapter 2:
The Mind/Body Problem: the philosophical question of how our mental experience relate to the physical states of our brain
Dualism: idea that the mind and body are distinct entities
The Interaction Problem: challenge of explaining how a non-physical mind (mental states) can causally interact with a physical body (brain activity) if they are considered to be two separate entities
Monism: idea that the mind and body are one and the same, or different manifestations of the same reality
Multiple Realizability: the phenomenon of one cognitive kind or process being actually or possibly realized by more than one relevantly different physical realizer
Functionalism: describes mental states by what they do, not what they are made of
Behaviorism: theory that focuses on observable behavior and environmental stimuli
Conditioning: learning process where an organism develops an association between two stimuli
Latent Learning: process of acquiring information without any immediate reinforcement or obvious behavioral change
Cognitive Map: a mental representation of physical environment
Chapter 3:
Brain Structure basics
Forebrain (including cerebral cortex)
Frontal lobe: executive functions like planning, decision making, and personality
Parietal lobe: processing sensory information
Temporal lobe: hearing, language comprehension, and memory
Occipital lobe: visual processing
Midbrain
Hindbrain (including cerebellum and brainstem)
Lesion-deficit method: research approach where scientists study patients with brain damage (lesions) to identify which brain regions are associated with specific cognitive functions by correlating the location of the lesion with the observed behavioral deficits
Aphasia: language disorder where a person has difficulties with understanding and producing spoken or written language
MRI and fMRI
MRI: primary neuroimaging technique used to study brain activity during cognitive tasks
Brain imaging technique that measures brain activity during specific tasks
BOLD signal: “blood oxygen level dependent” signal measured by functional magnetic resonance imaging
Functional Specialization: the concept that different areas of the brain are dedicated to specific cognitive functions
Plasticity: the brain's ability to change and adapt its structure and function in response to new experiences, learning, or environmental stimuli
Connectome: a comprehensive map of all neural connections within the brain
Corpus Callosum: a crucial structure that enables communication between the left and right hemispheres of the brain
Contralateral Organization: the arrangement where one side of the brain primarily controls the opposite side of the body
Split Brain: a condition where the corpus callosum, the bundle of nerve fibers connecting the two hemispheres of the brian, is severed, effectively isolating the left and right brain from each other
Chapter 4:
Computation: the approach of studying the mind and its cognitive processes by using computational models and simulations
Formal Systems: an abstract, rule based structure used to model cognitive processes, typically employing a set of symbols, axioms, and inference rules to represent and manipulate information
Stimulation vs. Instantiation
Stimulation: techniques or activities designed to actively engage and enhance cognitive functions like memory, attention, reasoning, and perception
Instantiation: the process of bringing a general concept or idea to life by applying it to a specific, concrete example
Levels of analysis: Computational, Algorithmic, Implementational
Computational the highest level of understanding a cognitive process, focusing on the problem that needs to be solved, the goal of the computation, and why it is important to solve that specific problem
Algorithmic: the level of explanation that focuses on the specific steps, procedures, or algorithms used to solve a cognitive problem
Implementational: the level of explanation that focuses on the physical mechanisms and neural structures within the brain that actually carry out a cognitive process
Multiple Realizability: refers to the idea that a single mental state or cognitive process can be implemented by various different physical systems
Chapter 5:
Mental Representations: internal symbols that represent external objects, events, or concepts
Semantic Properties: the meaningful characteristics of a mental representation, essentially describing the meaning or conceptual content associated with a particular idea, object, or concept, allowing us to understand and interpret information within a cognitive system
Concepts: mental representations of categories or ideas
Propositions: the smallest units of meaning that express a complete thought, acting as a statement that can be evaluated as true or false
Mental Maps: a cognitive representation, essentially a mental model, that an individual uses to store and navigate information about the relative locations and attributes of things in their environment
Mental Imagery: ability to create and experience sensory perceptions without external stimuli
Aphantasia: a condition where individuals lack the ability to voluntarily generate mental images
Mental Rotation: the cognitive ability to mentally imagine an object being rotated in space
Analog Representation: mental model where information is stored in a format that directly mirrors the structure of the real world
Continuous nature
Digital Representation: a mental representation that is structured in a discrete, binary manner
Discrete nature
Symbolic representation
Approximate Number System: a mental system that allows humans and animals to estimate quantities without relying on symbolic numbers or language
Weber’s Law: the “just noticeable difference” between two stimuli is a constant proportion of the intensity of the original stimulus
Subitizing System: the cognitive mechanism that allows individuals to rapidly and accurately perceive the number of objects in a small set without needing to count them
Successor Function: refers to the fundamental concept that every number has a unique “next” number
Chapter 6:
Halting Problem: refers to the theoretical concept, derived from computer science, that there can be no definitive algorithm to determine whether a given cognitive process will eventually reach a conclusion or if it will become stuck in an endless loop
Turing Machine: a mathematical model that has been used by cognitive scientists to understand the human mind
Automatic Machine: a theoretical model of the mind that operates on information without conscious awareness or effort
Determinacy Condition: condition that determines whether a system is determinate or indeterminate
Church-Turing Thesis: a fundamental principle in computer science that helps explain how the brain might work
Multiple Realizability: the phenomenon of one cognitive kind or process being actually or possibly realized by more than one relevantly different physical realizer
Turing Test: a thought experiment that measures a machine’s ability to think like a human
Frame Problem: occurs when an AI system is unable to correctly identify the relevant information in a given situation
Searle’s Room: a thought experiment devised by philosopher John Searle, where a person inside a room follows rules to manipulate Chinese characters without understanding their meaning
Simply processing symbols according to rules does not equate to genuine understanding, thus challenging the idea that a computer program
Complexity Problem: the challenge of explaining how simple neural mechanisms within the brain can give rise to intricate and multifaceted cognitive abilities like decision making, language understanding, and reasoning