Joseph T Francis
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Explore the profile of Joseph T Francis including associated specialties, affiliations and a list of published articles.
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39
Citations
692
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Recent Articles
11.
Dura-Bernal S, Zhou X, Neymotin S, Przekwas A, Francis J, Lytton W
Front Neurorobot
. 2015 Dec;
9:13.
PMID: 26635598
Embedding computational models in the physical world is a critical step towards constraining their behavior and building practical applications. Here we aim to drive a realistic musculoskeletal arm model using...
12.
Song W, Francis J
Front Neural Circuits
. 2015 Nov;
9:64.
PMID: 26578892
To make precise and prompt action in a dynamic environment, the sensorimotor system needs to integrate all related information. The inflow of somatosensory information to the cerebral cortex is regulated...
13.
Marsh B, Aditya Tarigoppula V, Chen C, Francis J
J Neurosci
. 2015 May;
35(19):7374-87.
PMID: 25972167
For decades, neurophysiologists have worked on elucidating the function of the cortical sensorimotor control system from the standpoint of kinematics or dynamics. Recently, computational neuroscientists have developed models that can...
14.
Bae J, Sanchez Giraldo L, Pohlmeyer E, Francis J, Sanchez J, Principe J
Comput Intell Neurosci
. 2015 Apr;
2015:481375.
PMID: 25866504
We study the feasibility and capability of the kernel temporal difference (KTD)(λ) algorithm for neural decoding. KTD(λ) is an online, kernel-based learning algorithm, which has been introduced to estimate value...
15.
Kraus L, Francis J
Annu Int Conf IEEE Eng Med Biol Soc
. 2015 Jan;
2014:2601-4.
PMID: 25570523
The ability of an organism to specifically attend to relevant sensory information during learning and subsequent performance of a task is highly dependent on the release of the neurotransmitter Acetylcholine...
16.
Li L, Brockmeier A, Choi J, Francis J, Sanchez J, Principe J
Comput Intell Neurosci
. 2014 May;
2014:870160.
PMID: 24829569
Brain machine interfaces (BMIs) have attracted intense attention as a promising technology for directly interfacing computers or prostheses with the brain's motor and sensory areas, thereby bypassing the body. The...
17.
Chadderdon G, Mohan A, Suter B, Neymotin S, Kerr C, Francis J, et al.
Neural Comput
. 2014 Apr;
26(7):1239-62.
PMID: 24708371
The deceptively simple laminar structure of neocortex belies the complexity of intra- and interlaminar connectivity. We developed a computational model based primarily on a unified set of brain activity mapping...
18.
Brockmeier A, Choi J, Kriminger E, Francis J, Principe J
Neural Comput
. 2014 Apr;
26(6):1080-107.
PMID: 24684447
In studies of the nervous system, the choice of metric for the neural responses is a pivotal assumption. For instance, a well-suited distance metric enables us to gauge the similarity...
19.
Brockmeier A, Sanchez Giraldo L, Emigh M, Bae J, Choi J, Francis J, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2013 Oct;
2013:5586-9.
PMID: 24111003
Intracortical neural recordings are typically high-dimensional due to many electrodes, channels, or units and high sampling rates, making it very difficult to visually inspect differences among responses to various conditions....
20.
Neymotin S, Chadderdon G, Kerr C, Francis J, Lytton W
Neural Comput
. 2013 Sep;
25(12):3263-93.
PMID: 24047323
Neocortical mechanisms of learning sensorimotor control involve a complex series of interactions at multiple levels, from synaptic mechanisms to cellular dynamics to network connectomics. We developed a model of sensory...