2003 Special Issue Learning and inference in the brain
H hierarchical generative models enable the learning of empirical priors and eschew prior assumptions about the causes of sensory input that are inherent in non-hierarchical models.
A theory of cortical responses
- Biology, PsychologyPhilosophical Transactions of the Royal Society B: Biological Sciences
The aims of this article are to encompass many apparently unrelated anatomical, physiological and psychophysical attributes of the brain within a single theoretical perspective and to provide a principled way to understand many aspects of cortical organization and responses.
Modeling Cortical Maps with Feed-Backs
- Computer ScienceThe 2006 IEEE International Joint Conference on Neural Network Proceedings
The present contribution revisits this framework with three add-ons, generalized to a larger class of (non-linear) map computations, including winner-take-all mechanisms.
How do high-level specifications of the brain relate to variational approaches?
- Computer ScienceJournal of Physiology-Paris
Predictive coding and the Bayesian brain: Intractability hurdles that are yet to be overcome
- Computer Science, BiologyCogSci
It is demonstrated that each key subcomputation invoked in hierarchical predictive coding potentially hides a computationally intractable problem.
Computational Resource Demands of a Predictive Bayesian Brain
- Computer ScienceComputational Brain & Behavior
It is demonstrated that each key subcomputation invoked in predictive processing potentially hides a computationally intractable problem.
Predictive, interactive multiple memory systems
- Psychology, BiologyHippocampus
This work proposes that measuring the functional coupling between brain regions will help understand how these memory systems interact to guide behavior, and describes how this PIMMS framework can be applied to human neuroimaging data acquired during encoding or retrieval phases of the recognition memory paradigm.
On the self-organization of a hierarchical memory for compositional object representation in the visual cortex
- Computer Science
A functional model of a self-organizing hierarchical memory network based on hypothetical neuronal mechanisms involved in cortical processing and adaptation is proposed, showing its ability to recognize identity and gender of the persons from alternative face views not shown before.
SHOWING 1-10 OF 172 REFERENCES
A measure for brain complexity: relating functional segregation and integration in the nervous system.
- BiologyProceedings of the National Academy of Sciences of the United States of America
A measure, called neural complexity (CN), that captures the interplay between functional segregation and functional integration in brains of higher vertebrates and may prove useful in analyzing complexity in other biological domains such as gene regulation and embryogenesis.
On the computational architecture of the neocortex
- BiologyBiological Cybernetics
This paper proposes that each area of the cortex carries on its calculations with the active participation of a nucleus in the thalamus with which it is reciprocally and topographically connected, and plays the role of an ‘active blackboard’ on which the current best reconstruction of some aspect of the world is always displayed.
Principal component analysis learning algorithms: a neurobiological analysis
- BiologyProceedings of the Royal Society of London. Series B: Biological Sciences
By using simulations, it is demonstrated that PCA-like mechanisms can eliminate afferent connections whose signals are unrelated to the prevalent pattern of afferent activity and may be instrumental in refining extrinsic cortico-cortical connections that underlie functional segregation.
Value-dependent selection in the brain: Simulation in a synthetic neural model
- Psychology, BiologyNeuroscience
In search of common foundations for cortical computation
- PsychologyBehavioral and Brain Sciences
Physiological evidence for synchronization, CFs, and plasticity of the RF and CF connections is described and it is shown how CFs can guide both learning and processing without becoming confused with the transmission of RF information.
Entropy and cortical activity: information theory and PET findings.
- BiologyCerebral cortex
This article shows that the antisymmetric arrangement of functional activity in convergent and divergent connections underlying functional segregation is exactly that predicted by the principle of maximum preservation of information, considered in the context of axonal bifurcation.
Activation Functions, Computational Goals, and Learning Rules for Local Processors with Contextual Guidance
- Computer ScienceNeural Computation
The basic capabilities of a local processor with two distinct classes of inputs: receptive field inputs that provide the primary drive and contextual inputs that modulate their effects are studied.
Distributed hierarchical processing in the primate cerebral cortex.
- Biology, PsychologyCerebral cortex
A summary of the layout of cortical areas associated with vision and with other modalities, a computerized database for storing and representing large amounts of information on connectivity patterns, and the application of these data to the analysis of hierarchical organization of the cerebral cortex are reported on.
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects.
- Biology, Psychology
Results suggest that rather than being exclusively feedforward phenomena, nonclassical surround effects in the visual cortex may also result from cortico-cortical feedback as a consequence of the visual system using an efficient hierarchical strategy for encoding natural images.