Real-Time Decoding of an Integrate and Fire Encoder
Authors: Shreya Saxena, Munther Dahleh
NeurIPS 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We numerically validate the effect of these parameters on the reconstruction error. We numerically show the utility of the theory developed here. 4 Numerical Simulations |
| Researcher Affiliation | Academia | Department of Electrical Engineering and Computer Sciences Massachusetts Institute of Technology Cambridge, MA 02139 {ssaxena,dahleh}@mit.edu |
| Pseudocode | Yes | Recursive Algorithm ti+1 Ati+1gk 1 t0 = 0, and g0 sinc(t si). We denote fti(t) = limk!1 f k gti+1(t) = limk!1 gk ti+1(t). We define the operator AT f used in Equation 12 as the following. f( )d sinc (t si) (13) |
| Open Source Code | No | The paper does not provide any explicit statements about releasing source code or links to a code repository for the described methodology. |
| Open Datasets | No | The paper describes a synthetic signal generation process ('We simulated signals f(t) of the following form, for t 2 [0, 100], using a stepsize of 10 2.', 'Here, the wk s and dk s were picked uniformly at random...'), but it does not provide concrete access information (link, DOI, formal citation) for a publicly available or open dataset. |
| Dataset Splits | No | The paper describes simulating signals for evaluation but does not provide specific dataset split information (e.g., percentages, sample counts, or predefined splits) for training, validation, or testing. |
| Hardware Specification | No | The paper only states 'All simulations were performed using MATLAB R2014a.' and does not provide specific hardware details (e.g., CPU/GPU models, memory) used for running the experiments. |
| Software Dependencies | Yes | All simulations were performed using MATLAB R2014a. |
| Experiment Setup | Yes | We simulated signals f(t) of the following form, for t 2 [0, 100], using a stepsize of 10 2. Here, [β, K] = [2, 500], and qi = 0.01 8i. A window size of = 3s was used. The thresholds qi were chosen to be constant a priori, but were reduced to satisfy the density constraint wherever necessary. |