How deep is the brain? The shallow brain hypothesis
Deep learning and predictive coding architectures commonly assume that inference in
neural networks is hierarchical. However, largely neglected in deep learning and predictive …
neural networks is hierarchical. However, largely neglected in deep learning and predictive …
[HTML][HTML] What is neurorepresentationalism? From neural activity and predictive processing to multi-level representations and consciousness
CMA Pennartz - Behavioural brain research, 2022 - Elsevier
This review provides an update on Neurorepresentationalism, a theoretical framework that
defines conscious experience as multimodal, situational survey and explains its neural basis …
defines conscious experience as multimodal, situational survey and explains its neural basis …
Linking brain structure, activity, and cognitive function through computation
Understanding the human brain is a “Grand Challenge” for 21st century research.
Computational approaches enable large and complex datasets to be addressed efficiently …
Computational approaches enable large and complex datasets to be addressed efficiently …
[HTML][HTML] An integrative, multiscale view on neural theories of consciousness
How is conscious experience related to material brain processes? A variety of theories
aiming to answer this age-old question have emerged from the recent surge in …
aiming to answer this age-old question have emerged from the recent surge in …
[HTML][HTML] Assessing the commensurability of theories of consciousness: On the usefulness of common denominators in differentiating, integrating and testing …
K Evers, M Farisco, CMA Pennartz - Consciousness and Cognition, 2024 - Elsevier
How deep is the current diversity in the panoply of theories to define consciousness, and to
what extent do these theories share common denominators? Here we first examine to what …
what extent do these theories share common denominators? Here we first examine to what …
How 'visual'is the visual cortex? The interactions between the visual cortex and other sensory, motivational and motor systems as enabling factors for visual perception
CMA Pennartz, MN Oude Lohuis… - … Transactions of the …, 2023 - royalsocietypublishing.org
The definition of the visual cortex is primarily based on the evidence that lesions of this area
impair visual perception. However, this does not exclude that the visual cortex may process …
impair visual perception. However, this does not exclude that the visual cortex may process …
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception
The ventral visual processing hierarchy of the cortex needs to fulfill at least two key
functions: perceived objects must be mapped to high-level representations invariantly of the …
functions: perceived objects must be mapped to high-level representations invariantly of the …
Predictive coding with spiking neurons and feedforward gist signaling
Predictive coding (PC) is an influential theory in neuroscience, which suggests the existence
of a cortical architecture that is constantly generating and updating predictive …
of a cortical architecture that is constantly generating and updating predictive …
Enhancing learning in artificial neural networks through cellular heterogeneity and neuromodulatory signaling
Recent progress in artificial intelligence (AI) has been driven by insights from neuroscience,
particularly with the development of artificial neural networks (ANNs). This has significantly …
particularly with the development of artificial neural networks (ANNs). This has significantly …
Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits
Efficient sensory detection requires the capacity to ignore task-irrelevant information, for
example when optic flow patterns created by egomotion need to be disentangled from object …
example when optic flow patterns created by egomotion need to be disentangled from object …