Results 231 to 240 of about 480,167 (281)

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi   +2 more
wiley   +1 more source

Topological Neural Coding

open access: yesBrainiacs Journal of Brain Imaging And Computing Sciences
openaire   +1 more source
Some of the next articles are maybe not open access.

Related searches:

Energy Efficient Neural Codes

Neural Computation, 1996
In 1969 Barlow introduced the phrase “economy of impulses” to express the tendency for successive neural systems to use lower and lower levels of cell firings to produce equivalent encodings. From this viewpoint, the ultimate economy of impulses is a neural code of minimal redundancy. The hypothesis motivating our research is that energy expenditures,
W B, Levy, R A, Baxter
openaire   +2 more sources

Reading a Neural Code

Science, 1991
Traditional approaches to neural coding characterize the encoding of known stimuli in average neural responses. Organisms face nearly the opposite task—extracting information about an unknown time-dependent stimulus from short segments of a spike train.
W, Bialek   +3 more
openaire   +2 more sources

Neural population codes

Current Opinion in Neurobiology, 2003
In many regions of the brain, information is represented by patterns of activity occurring over populations of neurons. Understanding the encoding of information in neural population activity is important both for grasping the fundamental computations underlying brain function, and for interpreting signals that may be useful for the control of ...
openaire   +2 more sources

Neural images and neural coding

Behavioral and Brain Sciences, 1995
AbstractIn Posner & Raichle's (1994) book, two essential and strictly related limitations of cognitive neurophysiology are not sufficiently enhanced: (1) The problem of “coding,” namely the capability of a natural brain to redefine its own “basic symbols” as a function of a changing environment; (2) the inadequacy of a Hebbian rule to reckon with ...
Antonio L. Perrone, Gianfranco Basti
openaire   +1 more source

Code Under Construction: Neural Coding Over Development

Trends in Neurosciences, 2018
Developing animals must begin to interact with the world before their neural development is complete. This means they must build neural codes appropriate for turning sensory inputs into motor outputs adaptively as their neural hardware matures. We review some recent progress in the understanding of the relationship between neural coding and neural ...
Avitan, Lilach, Goodhill, Geoffrey J
openaire   +3 more sources

Cutaneous neural codes for shape

Canadian Journal of Physiology and Pharmacology, 1994
In the pursuit of peripheral neural representations of shape for the sense of touch, a series of two- and three-dimensional objects were stroked across the fingerpad of the anesthetized monkey and responses evoked in cutaneous mechanoreceptive primary afferent nerve fibers recorded. Responses of slowly adapting fibers (SAs) and rapidly adapting fibers
R H, LaMotte   +3 more
openaire   +2 more sources

Neural coding of gustatory information

Current Opinion in Neurobiology, 1999
The nervous system encodes information relating chemical stimuli to taste perception, beginning with transduction mechanisms at the receptor and ending in the representation of stimulus attributes by the activity of neurons in the brain. Recent studies have rekindled the long-standing debate about whether taste information is coded by the pattern of ...
D V, Smith, S J, St John
openaire   +2 more sources

Information theory and neural coding

Nature Neuroscience, 1999
Information theory quantifies how much information a neural response carries about the stimulus. This can be compared to the information transferred in particular models of the stimulus-response function and to maximum possible information transfer.
Borst, A., Theunissen, F.
openaire   +4 more sources

Home - About - Disclaimer - Privacy