TY  - GEN
AB  - Biological sensory systems encode environmental information through large populations of receptors whose activity reaches the brain as parallel spike trains. Understanding how these signals are transformed and which stimulus features are most meaningful to the organism is a central challenge in neuroscience. This dissertation illustrates a comprehensive, data‑driven framework for analyzing relationships between stimuli and their neural representations, complementing traditional hypothesis‑driven approaches. Stimulus sets and neural responses are characterized either categorically or within continuous similarity spaces, and analytical methods are adapted or developed to quantify input–output relationships. Across the datasets examined, stimulus timing consistently emerged as a key feature governing neural encoding.
AD  - Oregon Health and Science University
AU  - Iancu, Ovidiu
DA  - 2008
DO  - 10.6083/M4610X8S
DO  - DOI
ED  - Roberts, Patrick
ED  - Advisor
ID  - 338
KW  - Nervous System
KW  - Information Storage and Retrieval
KW  - image  segmentation
KW  - neural stimulation
KW  - biophysical model
KW  - response attenuation
L1  - https://digitalcollections.ohsu.edu/record/338/files/339_etd.pdf
L2  - https://digitalcollections.ohsu.edu/record/338/files/339_etd.pdf
L4  - https://digitalcollections.ohsu.edu/record/338/files/339_etd.pdf
LK  - https://digitalcollections.ohsu.edu/record/338/files/339_etd.pdf
N2  - Biological sensory systems encode environmental information through large populations of receptors whose activity reaches the brain as parallel spike trains. Understanding how these signals are transformed and which stimulus features are most meaningful to the organism is a central challenge in neuroscience. This dissertation illustrates a comprehensive, data‑driven framework for analyzing relationships between stimuli and their neural representations, complementing traditional hypothesis‑driven approaches. Stimulus sets and neural responses are characterized either categorically or within continuous similarity spaces, and analytical methods are adapted or developed to quantify input–output relationships. Across the datasets examined, stimulus timing consistently emerged as a key feature governing neural encoding.
PB  - Oregon Health and Science University
PY  - 2008
T1  - The role of timing in shaping information processing in neural systems
TI  - The role of timing in shaping information processing in neural systems
UR  - https://digitalcollections.ohsu.edu/record/338/files/339_etd.pdf
Y1  - 2008
ER  -