Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world

S Grossberg - Neural networks, 2013 - Elsevier
Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain
autonomously learns to categorize, recognize, and predict objects and events in a changing …

Neural mechanisms for the recognition of biological movements

MA Giese, T Poggio - Nature Reviews Neuroscience, 2003 - nature.com
The visual recognition of complex movements and actions is crucial for the survival of many
species. It is important not only for communication and recognition at a distance, but also for …

Convergence of biological and psychological perspectives on cognitive coordination in schizophrenia

WA Phillips, SM Silverstein - Behavioral and Brain Sciences, 2003 - cambridge.org
The concept of locally specialized functions dominates research on higher brain function
and its disorders. Locally specialized functions must be complemented by processes that …

Towards a theory of the laminar architecture of cerebral cortex: Computational clues from the visual system

RDS Raizada, S Grossberg - Cerebral cortex, 2003 - academic.oup.com
One of the most exciting and open research frontiers in neuroscience is that of seeking to
understand the functional roles of the layers of cerebral cortex. New experimental …

[HTML][HTML] Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious experiences that they support

S Grossberg - Neural Networks, 2017 - Elsevier
The hard problem of consciousness is the problem of explaining how we experience qualia
or phenomenal experiences, such as seeing, hearing, and feeling, and knowing what they …

Advancement of motion psychophysics: Review 2001–2010

S Nishida - Journal of vision, 2011 - jov.arvojournals.org
This is a survey of psychophysical studies of motion perception carried out mainly in the last
10 years. It covers a wide range of topics, including the detection and interactions of local …

[HTML][HTML] Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision

NVK Medathati, H Neumann, GS Masson… - computer vision and …, 2016 - Elsevier
Studies in biological vision have always been a great source of inspiration for design of
computer vision algorithms. In the past, several successful methods were designed with …

End-stopping and the aperture problem: two-dimensional motion signals in macaque V1

CC Pack, MS Livingstone, KR Duffy, RT Born - Neuron, 2003 - cell.com
Our perception of fine visual detail relies on small receptive fields at early stages of visual
processing. However, small receptive fields tend to confound the orientation and velocity of …

[HTML][HTML] What a difference a parameter makes: A psychophysical comparison of random dot motion algorithms

PK Pilly, AR Seitz - Vision research, 2009 - Elsevier
Random dot motion (RDM) displays have emerged as one of the standard stimulus types
employed in psychophysical and physiological studies of motion processing. RDMs are …

A review of human sensory dynamics for application to models of driver steering and speed control

CJ Nash, DJ Cole, RS Bigler - Biological cybernetics, 2016 - Springer
In comparison with the high level of knowledge about vehicle dynamics which exists
nowadays, the role of the driver in the driver–vehicle system is still relatively poorly …