Source Code and Methods
Analogue Front-End Model for Developing Neural Spike Sorting Systems
A behavioural model for neural recording Analogue Front Ends (AFEs) based on a Matlab GUI. Source code available via Mathworks FileExchange.
For further details, see: Barsakcioglu D, Liu Y, Bhunjun P, Navajas J, Eftekhar A, Jackson A, Quian Quiroga R, Constandinou TG, 2014, An Analogue Front-End Model for Developing Neural Spike Sorting Systems, IEEE Transactions on Biomedical Circuits and Systems, Vol: 8, Pages: 216-227
Bayesian Adaptive Kernel Smoother (BAKS)
BAKS is a method for estimating firing rate from spike train data that uses kernel smoothing technique with adaptive bandwidth determined using a Bayesian approach. Source code available on Github.
For further details, see: Ahmadi N, Constandinou TG, Bouganis C.-S., 2017, Estimation of neuronal firing rate using Bayesian Adaptive Kernel Smoother (BAKS), bioRxiv 204818.
Finite difference time domain bi-dimensional model for simulating Optical Coherence Tomography (OCT)
A finite difference time domain (FDTD) model for computation of A line scans in time domain optical coherence tomography (OCT) for a myelinated peripheral nerve. Source code available on Github.
For further details, see: Troiani F, Nikolic K, Constandinou, TG, 2017, Simulating optical coherence tomography for observing nerve activity: a finite difference time domain bi-dimensional model, Plos One, Vol:14, ISSN:1932-6203.
Compact Standalone Platform for Neural Recording with Real-Time Spike Sorting and Data Logging
We have developed the NGNI platform - an end-to-end solution for on-node, real-time spike sorting. By using a compact, onboard (template based) spike sorting engine, together with offline training (WaveClus-based), a low power real-time solution is achievable. Technical resources (code, PCB designs), user manual, etc available on GitHub.
For further details, see the NGNI resource webpage and bioRxiv pre-print: Luan S, Williams Y, Maslik M, Liu Y, Carvalho F, Jackson A, Quiroga RR, Constandinou, TG, 2017, Compact Standalone Platform for Neural Recording with Real-Time Spike Sorting and Data Logging, bioRxiv:186627.