[HTML][HTML] The super-learning hypothesis: Integrating learning processes across cortex, cerebellum and basal ganglia
Despite wide evidence suggesting anatomical and functional interactions between cortex,
cerebellum and basal ganglia, the learning processes operating within them--often viewed …
cerebellum and basal ganglia, the learning processes operating within them--often viewed …
Acetylcholine neuromodulation in normal and abnormal learning and memory: vigilance control in waking, sleep, autism, amnesia and Alzheimer's disease
S Grossberg - Frontiers in neural circuits, 2017 - frontiersin.org
Adaptive Resonance Theory, or ART, is a neural model that explains how normal and
abnormal brains may learn to categorize and recognize objects and events in a changing …
abnormal brains may learn to categorize and recognize objects and events in a changing …
[图书][B] Introduction to neural and cognitive modeling
DS Levine - 2000 - taylorfrancis.com
This thoroughly, thoughtfully revised edition of a very successful textbook makes the
principles and the details of neural network modeling accessible to cognitive scientists of all …
principles and the details of neural network modeling accessible to cognitive scientists of all …
[HTML][HTML] Attention: Multiple types, brain resonances, psychological functions, and conscious states
S Grossberg - Journal of integrative neuroscience, 2021 - imrpress.com
This article describes neural models of attention. Since attention is not a disembodied
process, the article explains how brain processes of consciousness, learning, expectation …
process, the article explains how brain processes of consciousness, learning, expectation …
Toward autonomous adaptive intelligence: Building upon neural models of how brains make minds
S Grossberg - IEEE Transactions on Systems, Man, and …, 2020 - ieeexplore.ieee.org
This article surveys the development of mathematical laws, circuits, and architectures that
model how our brains make our minds, and shows how these contributions provide a …
model how our brains make our minds, and shows how these contributions provide a …
Desirability, availability, credit assignment, category learning, and attention: Cognitive-emotional and working memory dynamics of orbitofrontal, ventrolateral, and …
S Grossberg - Brain and Neuroscience Advances, 2018 - journals.sagepub.com
Background: The prefrontal cortices play an essential role in cognitive-emotional and
working memory processes through interactions with multiple brain regions. Methods: This …
working memory processes through interactions with multiple brain regions. Methods: This …
[HTML][HTML] Polycystic ovary syndrome pathophysiology: integrating systemic, CNS and circadian processes
G Anderson - Frontiers in Bioscience-Landmark, 2024 - imrpress.com
The conceptualization of polycystic ovary syndrome (PCOS) has primarily focused on
hormonal alterations driven by changes within the hypothalamus and ovarian granulosa …
hormonal alterations driven by changes within the hypothalamus and ovarian granulosa …
Cross-sectional field study comparing hippocampal subfields in patients with post-traumatic stress disorder, major depressive disorder, post-traumatic stress disorder …
T Knaust, MBD Siebler, D Tarnogorski… - Frontiers in …, 2023 - frontiersin.org
Background The hippocampus is a central brain structure involved in stress processing.
Previous studies have linked stress-related mental disorders, such as post-traumatic stress …
Previous studies have linked stress-related mental disorders, such as post-traumatic stress …
The resonant brain: How attentive conscious seeing regulates action sequences that interact with attentive cognitive learning, recognition, and prediction
S Grossberg - Attention, Perception, & Psychophysics, 2019 - Springer
This article describes mechanistic links that exist in advanced brains between processes
that regulate conscious attention, seeing, and knowing, and those that regulate looking and …
that regulate conscious attention, seeing, and knowing, and those that regulate looking and …
One or two minds? Neural network modeling of decision making by the unified self
DS Levine - Neural Networks, 2019 - Elsevier
Ever since the seminal work of Tversky and Kahneman starting in the late 1960s, it has
generally been accepted that many characteristic human decision patterns do not follow the …
generally been accepted that many characteristic human decision patterns do not follow the …