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matan rubin

Comparing the value of perceived humanversus AI-generated empathy

16 July, 2025

new paper published in Nature Human Behaviour by Matan Rubin, Prof. Anat Perry, and colleagues, explores whether empathic responses are perceived differently when attributed to a human versus artificial intelligence.

Across nine studies with over 6,000 participants, the researchers found that identically generated empathic messages were rated as more empathic, supportive, and authentic when thought to come from a human.

oded leshem

Congratulation to Dr. Oded Adomi Leshem

2 July, 2025

Who won ISPP’s 2025 David O. Sears Best Book Award for his book "Hope Amidst Conflict: Philosophical and Psychological Explorations," Published by Oxford University Press.

Leshem is a senior researcher at the PICR lab and the founder of the new International Hub for Hope Research.

David O. Sears Best Book on Mass Politics Award

Amir Tal

Welcome Dr. Amir Tal

24 June, 2025

The Department of Psychology is excited to welcome Dr. Amir Tal, a new faculty member joining the department in collaboration with the Department of Cognitive Science and the Brain. Amir will join us in the upcoming academic year (2025–2026) and will lead the Computational Psychology cluster.

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Cognitive models of interval timing

11 September, 2022
Cognitive models of interval timing

Cognitive models of interval timing can be formulated as an accumulation-to-bound process.1, 2, 3, 4, 5 However, the physiological manifestation of such processes has not yet been identified. A new Study by Prof Ayelet Landau and the PhD candidate Nir Ofir used electroencephalography (EEG) to measure the neural responses of participants while they performed a temporal bisection task in which they were requested to categorize the duration of visual stimuli as short or long. The researchers found that the stimulus-offset and response-locked activity depends on both stimulus duration and the participants’ decision. To relate this activity to the underlying cognitive processes, the researchers used a drift-diffusion model. The model includes a noisy accumulator starting with the stimulus onset and a decision threshold. According to the model, a stimulus duration will be categorized as “long” if the accumulator reaches the threshold during stimulus presentation. Otherwise, it will be categorized as “short.” The researchers found that at the offset of stimulus presentation, an EEG response marks the distance of the accumulator from the threshold. Therefore, this model offers an accurate description of our behavioral data as well as the EEG response using the same two model parameters. We then replicated this finding in an identical experiment conducted in the tactile domain. The researchers also extended this finding to two different temporal ranges (sub- and supra-second). Taken together, the work provides a new way to study the cognitive processes underlying temporal decisions, using a combination of behavior, EEG, and modeling.

See full article in here