Spiking neurons and synaptic stimuli: Neural response comparison using coincidence-factor

Sarangdhar, Mayur; Kambhampati, Chandrasekhar

doi:10.1007/978-90-481-2311-7_58

All Outputs (4)

Chaotic oscillations in hodgkin-huxley neural dynamics: Stimulus reconstruction and neural dynamics retrieval (2011)
Book Chapter
Sarangdhar, M., & Kambhampati, C. (2011). Chaotic oscillations in hodgkin-huxley neural dynamics: Stimulus reconstruction and neural dynamics retrieval. In Electrical engineering and applied computing (675-686). Springer. https://doi.org/10.1007/978-94-007-1192-1_53

Quantification of similarity using amplitudes and firing times of a Hodgkin-Huxley neural response (2011)
Book Chapter
Sarangdhar, M., & Kambhampati, C. (2011). Quantification of similarity using amplitudes and firing times of a Hodgkin-Huxley neural response. In Electrical Engineering and Applied Computing; Lecture Notes in Electrical Engineering (687-698). Springer Verlag. https://doi.org/10.1007/978-94-007-1192-1_54

Dysphonia measures in parkinson's disease and their use in prediction of its progression (2010)
Presentation / Conference Contribution
Kambhampati, C., Sarangdhar, M., & Poolsawad, N. (2010, October). Dysphonia measures in parkinson's disease and their use in prediction of its progression. Presented at International Conference on Knowledge Engineering and Ontology Development, Valencia, Spain

Parkinson's Disease (PD) is a neurodegenerative disorder that impairs the motor skills, speech and general muscle coordination. The progression of PD is assessed using a clinically defined rating scale known as Unified Parkinson's Disease Rating Scal... Read More about Dysphonia measures in parkinson's disease and their use in prediction of its progression.

Spiking neurons and synaptic stimuli: Neural response comparison using coincidence-factor (2009)
Book Chapter
Sarangdhar, M., & Kambhampati, C. (2009). Spiking neurons and synaptic stimuli: Neural response comparison using coincidence-factor. In S.-I. Ao, & L. Gelman (Eds.), Lecture Notes in Electrical Engineering; Advances in Electrical Engineering and Computational Science (681-692). Springer Verlag. https://doi.org/10.1007/978-90-481-2311-7_58

In this chapter, neural responses are generated by changing the Inter-Spike-Interval (ISI) of the stimulus. These responses are subsequently compared and a coincidence factor is obtained. Coincidence-factor, a measure of similarity, is expected to ge... Read More about Spiking neurons and synaptic stimuli: Neural response comparison using coincidence-factor.