Abstract
The study of neural population codes relies on massively parallel recordings in combination with theoretically motivated analysis tools. We applied two multi-site recording techniques to record from cells throughout cortical depth in a minimally invasive way. The feasibility of such experiments in area 17 of the anesthetized rat is demonstrated. Bayesian reconstruction and the interpretative framework of Fisher information are introduced. We demonstrate applicability and usefulness of Bayesian stimulus reconstruction and show that even small numbers of neurons can yield a high degree of representational accuracy under favorable conditions. Results are discussed and future lines of research outlined.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 407-416 |
| Number of pages | 10 |
| Journal | Neurocomputing |
| Volume | 44-46 |
| DOIs | |
| State | Published - 2002 |
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Keywords
- Bayesian reconstruction
- Fisher information
- Multi-site recording technology
- Population coding
- Visual cortex
ASJC Scopus subject areas
- Artificial Intelligence
- Cellular and Molecular Neuroscience
Cite this
Stimulus representation in rat primary visual cortex : Multi-electrode recordings with micro-machined silicon probes and estimation theory. / Freiwald, Winrich A.; Stemmann, Heiko; Wannig, Aurel; Kreiter, Andreas K.; Hofmann, Ulrich G.; Hills, Matthew D.; Kovacs, Gregory T A; Kewley, David T.; Bower, James M.; Etzold, Axel; Wilke, Stefan D.; Eurich, Christian W.
In: Neurocomputing, Vol. 44-46, 2002, p. 407-416.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Stimulus representation in rat primary visual cortex
T2 - Multi-electrode recordings with micro-machined silicon probes and estimation theory
AU - Freiwald, Winrich A.
AU - Stemmann, Heiko
AU - Wannig, Aurel
AU - Kreiter, Andreas K.
AU - Hofmann, Ulrich G.
AU - Hills, Matthew D.
AU - Kovacs, Gregory T A
AU - Kewley, David T.
AU - Bower, James M.
AU - Etzold, Axel
AU - Wilke, Stefan D.
AU - Eurich, Christian W.
PY - 2002
Y1 - 2002
N2 - The study of neural population codes relies on massively parallel recordings in combination with theoretically motivated analysis tools. We applied two multi-site recording techniques to record from cells throughout cortical depth in a minimally invasive way. The feasibility of such experiments in area 17 of the anesthetized rat is demonstrated. Bayesian reconstruction and the interpretative framework of Fisher information are introduced. We demonstrate applicability and usefulness of Bayesian stimulus reconstruction and show that even small numbers of neurons can yield a high degree of representational accuracy under favorable conditions. Results are discussed and future lines of research outlined.
AB - The study of neural population codes relies on massively parallel recordings in combination with theoretically motivated analysis tools. We applied two multi-site recording techniques to record from cells throughout cortical depth in a minimally invasive way. The feasibility of such experiments in area 17 of the anesthetized rat is demonstrated. Bayesian reconstruction and the interpretative framework of Fisher information are introduced. We demonstrate applicability and usefulness of Bayesian stimulus reconstruction and show that even small numbers of neurons can yield a high degree of representational accuracy under favorable conditions. Results are discussed and future lines of research outlined.
KW - Bayesian reconstruction
KW - Fisher information
KW - Multi-site recording technology
KW - Population coding
KW - Visual cortex
UR - http://www.scopus.com/inward/record.url?scp=0036062378&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0036062378&partnerID=8YFLogxK
U2 - 10.1016/S0925-2312(02)00391-0
DO - 10.1016/S0925-2312(02)00391-0
M3 - Article
AN - SCOPUS:0036062378
VL - 44-46
SP - 407
EP - 416
JO - Neurocomputing
JF - Neurocomputing
SN - 0925-2312
ER -