Cortical neural prosthetics.
By Andrew B. Schwartz. Annual Review of Neuroscience, 2004
599 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/310195b520ed75b5eacbe2a999e37f72b357c1de
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Wulfram Gerstner
- Nicolas Frémaux
- Henning Sprekeler
- Rafael Yuste
- R. Quian Quiroga
- Karl Deisseroth
- Friedemann Zenke
- Christian Cipriani
In Cognitive Neuroscience
- Wulfram Gerstner
- Nicolas Frémaux
- Henning Sprekeler
- R. Quian Quiroga
- Friedemann Zenke
- Rafael Yuste
- He Cui
- Xiao-Jing Wang
In Electrical and Electronic Engineering
- Wulfram Gerstner
- Nicolas Frémaux
- Henning Sprekeler
- Friedemann Zenke
- Emilio Bizzi
- Uri Rokni
- Andrew G. Richardson
- Aviad Hai
Citations in the corpus
- Online detection and sorting of extracellularly recorded action potentials in human medial temporal lobe recordings, in vivo. (2006, background): “Combined with the recent development of microdrive-driven chronically implanted arrays of electrodes this will ultimately allow online control of cortically controlled neural prosthetics (Schwartz, 2004).”
- Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film (2006, background): “As a result, recordings with the Michigan probe immediately after surgery tend to be strong [55, 56].”
- Nanotools for Neuroscience and Brain Activity Mapping (2013, background): “for ensuring the success of brain machine interfaces and long-term studies linking brain activity to behavior.(105,107) 109 The ability to record units from chronically implanted microelectrodes degrades on the time scale of days to years,(110) 112”
- Motor learning with unstable neural representations. (2007, methodology): “How Could the Theory Be Further Tested? Besides the above mentioned recordings across days, one may use brain computer interface (BCI) experiments, in which a population of cortical cells is used to control a computer device (for review, see Schwartz [2004] ).”
- Functional Requirements for Reward-Modulated Spike-Timing-Dependent Plasticity (2010, methodology): “The temporal resolution of 15 ms in our decoding scheme is similar to the one commonly used in neuroprosthetics (Schwartz, 2004).”
- Design of a cybernetic hand for perception and action (2006, methodology): “Central invasive neural interfaces have been used by many groups (Carmena et al. 2003; Serruya et al. 2002; Musallam et al. 2004; Taylor et al. 2002; Hochberg et al. 2006; Schwartz 2004) to extract motor information related to reaching movements.”
- Multi-electrode array technologies for neuroscience and cardiology. (2013, background): “In vivo polytrodes may have over a hundred 9,20 .”
- Intention, action planning, and decision making in parietal-frontal circuits. (2009, background): “As such, motor-prosthetics have used this activity to guide the trajectory of a cursor or a robot limb (Schwartz, 2004; Velliste et al., 2008; Nicolelis, 2003; Donoghue, 2002; Hochberg et al., 2006).”
- Extracting information from neuronal populations: information theory and decoding approaches (2009, background): “The shannon entropy H(S) of the distribution of probabilities P(s) for each stimulus is defined as15,16,27,34: H(S) = – Σ P(s)log2P(s) s (3)”