The reward-oriented model was provided the total action sequences of the participants (i.e., 150 actions and rewards), and was fitted for each participant independently. LSTM models Long short term memory (LSTM) is a type of recurrent neural networks (RNN), which allows modelling temporal ...
Deep learning is a subset of machine learning in artificial intelligence that has network capable of learning unsupervised from data that is unstructured or unlabeled also known as deep neural learning or deep neural network. Different types of deep learning models Autoencoders Deep belief net Convolu...
we're going to a dance"—and all of us can probably think of song lyrics we've hilariously misunderstood the same way (I always chuckle when I hear Kate Bush singing about "the cattle burning over your shoulder").
the presynaptic weights the model proposed for one spectral tuning curve. Intuition suggests that broad-band neurons should receive similar input from all types of receptors; colour opponent neurons should be excited by one receptor type and inhibited by others; and so on (see Inset in the top ...
Data processing and model training: Given multiple users’ GPS logs, we build two types of data: a flow tensor and a trajectory flow tensor. The flow tensor is generated to train a deep model, which is the same as in previous approaches. For explanation, we extract the trajectory flow ten...