Structure and flexibility in cortical representations of odour space

The cortex organizes sensory information to enable discrimination and generalization. As systematic representations of chemical odour space have not yet been described in the olfactory cortex, it remains unclear how odour relationships are encoded to place chemically distinct but similar odours, such as lemon and orange, into perceptual categories, such as citrus.

Structured Semantic Knowledge Can Emerge Automatically from Predicting Word Sequences in Child-Directed Speech

Previous research has suggested that distributional learning mechanisms may contribute to the acquisition of semantic knowledge. However, distributional learning mechanisms, statistical learning, and contemporary “deep learning” approaches have been criticized for being incapable of learning the kind of abstract and structured knowledge that many think is required for acquisition of semantic knowledge. In this paper, we show that recurrent neural networks, trained on noisy naturalistic speech to children, do in fact learn what appears to be abstract and structured knowledge.

Erasmus Days

erasmus days

iBrain Cognitive Neuroscience Direct track miniSymposium

The iBrain Symposium will include project presentations, consortium partner presentations, a keynote seminar from Prof. Hilke Plassman (INSEAD France) on cognitive neuroeconomics and a round table discussion.

"Chinese character recognition among native speakers as well as L2 learners"

Many studies have drawn conclusions that in English word recognition, native adult speakers tend to adopt the holistic processing strategy and a switch from analytic processing strategy to holistic one among children was also detected. Considering the huge differences between logographic Chinese characters and alphabetical English series of letters, it would be interesting to discuss – How does the Chinese native speakers process Chinese characters?

Cognitive Science of Meditation

Research on meditation has been rising in the past decades. Mindfulness interventions have been applied to new settings such as schools, workplaces and military. Research studies claim that meditation leads to cognitive enhancement and helps with psychotic disorders. Studies support underlying cognitive benefits such as improved visual search, inhibitory control, executive control, meta-awareness, sustained attention and decrease in mind-wandering. Yet, these interventions can trigger benign and adverse effects based on psychological history of individuals.

CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights based Counterfactual Detection

In this paper, we describe an approach for modelling causal reasoning in natural language by detecting counterfactuals in text using multi-head self-attention weights. We use pre-trained transformer models to extract contextual embeddings and self-attention weights from the text. We show the use of convolutional layers to extract task-specific features from these self-attention weights. Further, we describe a fine-tuning approach with a common base model for knowledge sharing between the two closely related sub-tasks for counterfactual detection.