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  • JOURNAL ARTICLE
    Triantis IF, Woods V, Eftekhar A, Georgiou P, Constandinou TG, Drakakis EM, Toumazou Cet al., 2007,

    Advances in Neural Interfacing

    , IEEE Circuits and Systems Society Newsletter, Vol: 1
  • CONFERENCE PAPER
    Constandinou TG, Degenaar P, Toumazou C, 2006,

    An adaptable foveating vision chip

    , IEEE International Symposium on Circuits and Systems, Publisher: IEEE, Pages: 3566-+, ISSN: 0271-4302
  • CONFERENCE PAPER
    Constandinou TG, Toumazou C, 2006,

    A micropower vision processor for parallel object positioning and sizing

    , IEEE International Symposium on Circuits and Systems, Publisher: IEEE, Pages: 943-+, ISSN: 0271-4302
  • JOURNAL ARTICLE
    Constandinou TG, Toumazou C, 2006,

    A micropower centroiding vision processor

    , Solid-State Circuits, IEEE Journal of, Vol: 41, Pages: 1430-1443, ISSN: 0018-9200
  • JOURNAL ARTICLE
    Degenaar P, Constandinou TG, Toumazou C, 2006,

    Adaptive ON-OFF spiking photoreceptor

    , ELECTRONICS LETTERS, Vol: 42, Pages: 196-198, ISSN: 0013-5194
  • JOURNAL ARTICLE
    Georgiou P, Constandinou TG, Toumazou C, 2006,

    Low-power spiking chemical pixel sensor

    , ELECTRONICS LETTERS, Vol: 42, Pages: 1331-1332, ISSN: 0013-5194
  • BOOK CHAPTER
    Shepherd LM, Constandinou TG, Toumazou C, 2006,

    Towards ultra-low power bio-inspired processing

    , Body Sensor Networks, Editors: Yang, Yang, London, Publisher: Springer, Pages: 219-238, ISBN: 9781846282720
  • REPORT
    Constandinou TG, 2005,

    Bio-inspired Electronics for Micropower Vision Processing

    , PhD Thesis, London, UK, Publisher: Imperial College of Science, Technology and Medicine, University of London
  • SOFTWARE
    Constandinou TG, 2005,

    ORASIS Algorithm Simulator

    , United Kingdom, Publisher: Imperial College London
  • CONFERENCE PAPER
    Constandinou TG, Degenaar P, Bradley D, Toumazou Cet al., 2004,

    An on/off spiking photoreceptor for adaptive ultrafast/ultrawide dynamic range vision chips

    , IEEE Workshop on Biomedical Circuits and Systems (BioCAS), Publisher: Institute of Electrical and Electronics Engineers (IEEE), Pages: 9-12
  • CONFERENCE PAPER
    Constandinou TG, Georgiou J, Toumazou C, 2004,

    Towards a bio-inspired mixed-signal retinal processor

    , New York, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: Institute of Electrical and Electronics Engineers (IEEE), Pages: 493-496
  • CONFERENCE PAPER
    Constandinou TG, Georgiou J, Toumazou C, 2004,

    A nano-power tuneable edge-detection circuit

    , New York, IEEE International Symposium on Circuits and Systems (ISCAS), Publisher: IEEE, Pages: 449-452
  • JOURNAL ARTICLE
    Constandinou TG, Toumazou C, 2004,

    Neuromorphic electronics for real-time biomedical image processing

    , The Neuromorphic Engineer, Vol: 1
  • JOURNAL ARTICLE
    Constandinou TG, 2003,

    Stepper Motors Uncovered (2)

    , Elektor Electronics, Vol: 2003, ISSN: 0268-4519
  • JOURNAL ARTICLE
    Constandinou TG, 2003,

    Stepper Motors Uncovered (1)

    , Elektor Electronics, Vol: 2003, ISSN: 0268-4519
  • JOURNAL ARTICLE
    Constandinou TG, Georgiou J, Toumazou C, 2003,

    Nano-power mixed-signal tunable edge-detection circuit for pixel-level processing in next generation vision systems

    , ELECTRONICS LETTERS, Vol: 39, Pages: 1774-1776, ISSN: 0013-5194
  • CONFERENCE PAPER
    Constandinou TG, Georgiou J, Toumazou C, 2003,

    An auto-input-offset removing floating gate pseudo-differential transconductor

    , IEEE International Symposium on Circuits and Systems, Publisher: IEEE, Pages: 169-172
  • JOURNAL ARTICLE
    Constandinou TG, Lande TS, Toumazou C, 2003,

    Bio-pulsating architecture for object-based processing in next generation vision systems

    , ELECTRONICS LETTERS, Vol: 39, Pages: 1169-1170, ISSN: 0013-5194
  • CONFERENCE PAPER
    Ahmadi N, Constandinou TG, Bouganis C,

    Spike rate estimation using Bayesian Adaptive Kernel Smoother (BAKS) and its application to brain machine interfaces

    , 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Publisher: IEEE

    Brain Machine Interfaces (BMIs) mostly utilise spike rate as an input feature for decoding a desired motor output as it conveys a useful measure to the underlying neuronal activity. The spike rate is typically estimated by a using non-overlap binning method that yields a coarse estimate. There exist several methods that can produce a smooth estimate which could potentially improve the decoding performance. However, these methods are relatively computationally heavy for real-time BMIs. To address this issue, we propose a new method for estimating spike rate that is able to yield a smooth estimate and also amenable to real-time BMIs. The proposed method, referred to as Bayesian adaptive kernel smoother (BAKS), employs kernel smoothing technique that considers the bandwidth as a random variable with prior distribution which is adaptively updated through a Bayesian framework. With appropriate selection of prior distribution and kernel function, an analytical expression can be achieved for the kernel bandwidth. We apply BAKS and evaluate its impact on of fline BMI decoding performance using Kalman filter. The results show that overlap BAKS improved the decoding performance up to 3.33% and 12.93% compared to overlap and non-overlapbinning methods, respectively, depending on the window size. This suggests the feasibility and the potential use of BAKS method for real-time BMIs.

  • CONFERENCE PAPER
    Moly A, Luan S, Mari Z, Anderson WS, Salimpour Y, Constandinou TG, Grand Let al.,

    Embedded phase-amplitude coupling based closed-loop platform forParkinson’s Disease

    , 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Publisher: IEEE

    Deep Brain Stimulation (DBS) is a widely used clinical therapeutic modality to treat Parkinsons disease refractory symptoms and complications of levodopa therapy. Currently available DBS systems use continuous, open-loop stimulation strategies. It might be redundant and we could extend the battery life otherwise. Recently, robust electrophysiological signatures of Parkinsons disease have been characterized in motor cortex of patients undergoing DBS surgery. Reductions in the beta-gamma Phase-Amplitude coupling (PAC) correlated with symptom improvement, and the therapeutic effects of DBS itself. We aim to develop a miniature, implantable andadaptive system, which only stimulates the neural target, when triggered by the output of the appropriate PAC algorithm. As a first step, in this paper we compare published PAC algorithms by using human data intra-operatively recorded from Parkinsonian patients. We then introduce IIR maskingfor later achieving fast and low-power FPGA implementation of PAC mapping for intra-operative studies. Our closed-loop application is expected to consume significantly less power than current DBS systems, therefore we can increase the battery life, without compromising clinical benefits.

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