7 papers
Adversarial Vulnerabilities of Neural Biomarker Identification Systems
Polina Tapal, Bryce-Allen Bagley
There is growing interest in the proposed use of EEG signals as biometric credentials, but thus far there has been little research on the reliability and security of such biometric…
Threat Vectors and the State of the Art in Defense Methods for Security in Neurotechnology
Bryce-Allen Bagley, Nathaniel Rose, Quintus Kilbourn +1
Brain-computer interfaces (BCIs) are a class of diverse hardware modalities, associated software, and connected devices which are widely used in a variety of fields, including neur…
Efficient Approximation of Volterra Series for High-Dimensional Systems
Navin Khoshnan, Claudia K Petritsch, Bryce-Allen Bagley
The identification of high-dimensional nonlinear dynamical systems via the Volterra series has significant potential, but has been severely hindered by the curse of dimensionality.…
Approximating the Mathematical Structure of Psychodynamics
Bryce-Allen Bagley, Navin Khoshnan
The complexity of human cognition has meant that psychology makes more use of theory and conceptual models than perhaps any other biomedical field. To enable precise quantitative s…
A Mathematical Framework for the Problem of Security for Cognition in Neurotechnology
Bryce Allen Bagley, Claudia K Petritsch
The rapid advancement in neurotechnology in recent years has created an emerging critical intersection between neurotechnology and security. Implantable devices, non-invasive monit…
Reinforcement Learning for Control of Evolutionary and Ecological Processes
Bryce Allen Bagley, Navin Khoshnan, Claudia K Petritsch
As Evolutionary Dynamics moves from the realm of theory into application, algorithms are needed to move beyond simple models. Yet few such methods exist in the literature. Ecologic…
Pre-Synaptic Pool Modification (PSPM): A Supervised Learning Procedure for Spiking Neural Networks
Bryce Bagley, Blake Bordelon, Benjamin Moseley +1
Learning synaptic weights of spiking neural network (SNN) models that can reproduce target spike trains from provided neural firing data is a central problem in computational neuro…