Intelligent System
... It is hard to define what exactly an “intelligent system” is. No one can deny that the intelligent system already has an increasing impact on the quality of life in many areas. Intelligence in a system refers to its ability to learn or adapt, and to modify its functional dependences in response to n ...
... It is hard to define what exactly an “intelligent system” is. No one can deny that the intelligent system already has an increasing impact on the quality of life in many areas. Intelligence in a system refers to its ability to learn or adapt, and to modify its functional dependences in response to n ...
CS-485: Capstone in Computer Science
... Brain computer is a highly interconnected neurons system in such a way that the state of one neuron affects the potential of the large number of other neurons which are connected according to weights or strength. The key idea of such principle is the functional capacity of biological neural nets det ...
... Brain computer is a highly interconnected neurons system in such a way that the state of one neuron affects the potential of the large number of other neurons which are connected according to weights or strength. The key idea of such principle is the functional capacity of biological neural nets det ...
Sensory ecology, receiver biases and sexual selection
... Background noise and organ–environment interactions affect the efficiency of signal collection and coupling to the receptor cells34,37,38,40,51. (d) Transduction: signal collection and transducing properties of the receptors The structure of receptors and the degree and rate of physiological adaptat ...
... Background noise and organ–environment interactions affect the efficiency of signal collection and coupling to the receptor cells34,37,38,40,51. (d) Transduction: signal collection and transducing properties of the receptors The structure of receptors and the degree and rate of physiological adaptat ...
BCI Engine : software - Luigi Bianchi Home Page
... buffer whose size is large enough to hold the data required for the real-time processing. It is not important how the data are collected: it is sufficient to notify in some way when and where new biological acquired data are available. Other relevant information are related to every single acquired ...
... buffer whose size is large enough to hold the data required for the real-time processing. It is not important how the data are collected: it is sufficient to notify in some way when and where new biological acquired data are available. Other relevant information are related to every single acquired ...
Energy Saving Accounts for the Suppression of Sensory Detail
... Figure 2. The prior/attention model. Features, concepts and inhibitory interneurons are similar to Figure 1. Here we have two concepts and a single prior/attention neuron selecting them. The latter has excitatory connections to a small subset of feature detectors (black). ...
... Figure 2. The prior/attention model. Features, concepts and inhibitory interneurons are similar to Figure 1. Here we have two concepts and a single prior/attention neuron selecting them. The latter has excitatory connections to a small subset of feature detectors (black). ...
lecture set 1
... • Achieving both goals perfectly not possible • Important issues to be addressed: - quality of explanation and prediction - is good prediction possible at all ? - if two models explain past data equally well, which one is better? - how to distinguish between true scientific and pseudoscientific theo ...
... • Achieving both goals perfectly not possible • Important issues to be addressed: - quality of explanation and prediction - is good prediction possible at all ? - if two models explain past data equally well, which one is better? - how to distinguish between true scientific and pseudoscientific theo ...
Questions and Answers
... positive one, given that they both carry positive charges? Is it because most potassium ions are initially inside the cell but most sodium ions are outside? The corresponding material is on the 13 page of Roja’s book. A: Difference between resting potential and equilibrium potential. THe equilibrium ...
... positive one, given that they both carry positive charges? Is it because most potassium ions are initially inside the cell but most sodium ions are outside? The corresponding material is on the 13 page of Roja’s book. A: Difference between resting potential and equilibrium potential. THe equilibrium ...
From autism to ADHD: computational simulations
... Meta-learning means different things for different people. Some call “meta” learning of many models, ranking them, boosting, bagging, or creating an ensemble in many ways, so for them meta optimization of parameters to integrate models. Deep learning: DARPA 2009 call, methods are „flat”, shallow, ...
... Meta-learning means different things for different people. Some call “meta” learning of many models, ranking them, boosting, bagging, or creating an ensemble in many ways, so for them meta optimization of parameters to integrate models. Deep learning: DARPA 2009 call, methods are „flat”, shallow, ...
Joint EuroSPIN/NeuroTime Meeting 2013, January 14
... and despite the fact that they are relatively sparse elements (1-2%) it seems that they have very prominent role in shaping the output of the striatum. Neuronal avalanches are a type of spontaneous activity first observed in vitro by recording local field potentials in cortical neural networks using ...
... and despite the fact that they are relatively sparse elements (1-2%) it seems that they have very prominent role in shaping the output of the striatum. Neuronal avalanches are a type of spontaneous activity first observed in vitro by recording local field potentials in cortical neural networks using ...
Artificial neural networks – how to open the black boxes?
... and thus the possibility for an improvement of it. Such way it is possible to open the black box of an artificial neural network (ANN). These are simple in set up, easy to train and deliver quickly well-fitted model results. But an ANN faces increasing problems with the complexity of the systems it ...
... and thus the possibility for an improvement of it. Such way it is possible to open the black box of an artificial neural network (ANN). These are simple in set up, easy to train and deliver quickly well-fitted model results. But an ANN faces increasing problems with the complexity of the systems it ...
Integrate and Fire Neural Network
... – Simulation specifics, intro to neural network models, suggestions for this presentation ...
... – Simulation specifics, intro to neural network models, suggestions for this presentation ...
Introduction to Machine Intelligence
... 1970s – clinical trials begun in USA 1961 – first motor prosthesis for foot drop in hemiplegics 1980s – Functional Electrical Stimulation (FES) of motor nerves and muscles shown to be valid 1990s – neural prostheses developed (trialled) for standing and for upper limbs 1990s – urinary incontinence s ...
... 1970s – clinical trials begun in USA 1961 – first motor prosthesis for foot drop in hemiplegics 1980s – Functional Electrical Stimulation (FES) of motor nerves and muscles shown to be valid 1990s – neural prostheses developed (trialled) for standing and for upper limbs 1990s – urinary incontinence s ...
Introduction to Machine Intelligence
... 1970s – clinical trials begun in USA 1961 – first motor prosthesis for foot drop in hemiplegics 1980s – Functional Electrical Stimulation (FES) of motor nerves and muscles shown to be valid 1990s – neural prostheses developed (trialled) for standing and for upper limbs 1990s – urinary incontinence s ...
... 1970s – clinical trials begun in USA 1961 – first motor prosthesis for foot drop in hemiplegics 1980s – Functional Electrical Stimulation (FES) of motor nerves and muscles shown to be valid 1990s – neural prostheses developed (trialled) for standing and for upper limbs 1990s – urinary incontinence s ...
Neural Networks
... Information processing occurs at many simple elements called neurons. Signals are passed between neurons over connection links. Each connection link has an associated weight, which, in a typical neural net, multiplies the signal transmitted. Each neuron applies an activation function (usually nonlin ...
... Information processing occurs at many simple elements called neurons. Signals are passed between neurons over connection links. Each connection link has an associated weight, which, in a typical neural net, multiplies the signal transmitted. Each neuron applies an activation function (usually nonlin ...
2015 International Joint Conference on Neural Networks
... robot. The computational model of BTC circuit, incorporates two different levels of modeling: point neuorns and mass models. With the point neuron it is aimed to obtain a more realistic method to investigate the model in real time, while mass model provides realizability of the task on humanoid robo ...
... robot. The computational model of BTC circuit, incorporates two different levels of modeling: point neuorns and mass models. With the point neuron it is aimed to obtain a more realistic method to investigate the model in real time, while mass model provides realizability of the task on humanoid robo ...
BRAIN COMPUTER INTERFACE
... Another way to measure brain activity is with a Magnetic Resonance Image (MRI). An MRI machine is a massive, complicated device. It produces very high-resolution images of brain activity, but it can't be used as part of a permanent or semipermanent BCI. ...
... Another way to measure brain activity is with a Magnetic Resonance Image (MRI). An MRI machine is a massive, complicated device. It produces very high-resolution images of brain activity, but it can't be used as part of a permanent or semipermanent BCI. ...
