Stimulus-and goal-oriented frameworks for understanding natural vision
Our knowledge of sensory processing has advanced dramatically in the last few decades,
but this understanding remains far from complete, especially for stimuli with the large …
but this understanding remains far from complete, especially for stimuli with the large …
Beyond STDP—towards diverse and functionally relevant plasticity rules
A Suvrathan - Current opinion in neurobiology, 2019 - Elsevier
Highlights•Associative synaptic plasticity can occur in response to neural signals that are far
apart in time.•The timescales of plasticity bridge delays that are relevant to the local …
apart in time.•The timescales of plasticity bridge delays that are relevant to the local …
Predictive encoding of motion begins in the primate retina
B Liu, A Hong, F Rieke, MB Manookin - Nature neuroscience, 2021 - nature.com
Predictive motion encoding is an important aspect of visually guided behavior that allows
animals to estimate the trajectory of moving objects. Motion prediction is understood …
animals to estimate the trajectory of moving objects. Motion prediction is understood …
Information closure theory of consciousness
Information processing in neural systems can be described and analyzed at multiple
spatiotemporal scales. Generally, information at lower levels is more fine-grained but can be …
spatiotemporal scales. Generally, information at lower levels is more fine-grained but can be …
Contiguity in perception: origins in cellular associative computations
C Hansel - Trends in Neurosciences, 2024 - cell.com
Our brains are good at detecting and learning associative structures; according to some
linguistic theories, this capacity even constitutes a prerequisite for the development of syntax …
linguistic theories, this capacity even constitutes a prerequisite for the development of syntax …
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network
I Jeon, T Kim - Frontiers in Computational Neuroscience, 2023 - frontiersin.org
Although it may appear infeasible and impractical, building artificial intelligence (AI) using a
bottom-up approach based on the understanding of neuroscience is straightforward. The …
bottom-up approach based on the understanding of neuroscience is straightforward. The …
Optimal prediction with resource constraints using the information bottleneck
Responding to stimuli requires that organisms encode information about the external world.
Not all parts of the input are important for behavior, and resource limitations demand that …
Not all parts of the input are important for behavior, and resource limitations demand that …
Maximally efficient prediction in the early fly visual system may support evasive flight maneuvers
The visual system must make predictions to compensate for inherent delays in its
processing. Yet little is known, mechanistically, about how prediction aids natural behaviors …
processing. Yet little is known, mechanistically, about how prediction aids natural behaviors …
Efficient coding, channel capacity, and the emergence of retinal mosaics
Among the most striking features of retinal organization is the grouping of its output neurons,
the retinal ganglion cells (RGCs), into a diversity of functional types. Each of these types …
the retinal ganglion cells (RGCs), into a diversity of functional types. Each of these types …
Sources of predictive information in dynamical neural networks
M Candadai, EJ Izquierdo - Scientific reports, 2020 - nature.com
Behavior involves the ongoing interaction between an organism and its environment. One of
the prevailing theories of adaptive behavior is that organisms are constantly making …
the prevailing theories of adaptive behavior is that organisms are constantly making …