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Idan Segev

Idan Segev is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Idan Segev rather than just read about it. In short: Idan Segev (born November 11, 1949) is an Israeli brain researcher and professor of computational neuroscience at the Edmond and Lily Safra Center for Brain Sciences (ELSC) of the Hebrew University of Jerusalem, where he also serves as head of the Department of Neurobiology and the Interdisciplinary Center for Neural Computation (ICNC). He is a senior partner in the Swiss Blue Brain Project and EU Human Brain Projec…

Idan Segev — main illustration
Idan Segev — illustration

Key takeaways

  • Idan Segev belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Idan Segev to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Idan Segev from memory before moving on to harder problems.

Reference excerpt

Idan Segev (born November 11, 1949) is an Israeli brain researcher and professor of computational neuroscience at the Edmond and Lily Safra Center for Brain Sciences (ELSC) of the Hebrew University of Jerusalem, where he also serves as head of the Department of Neurobiology and the Interdisciplinary Center for Neural Computation (ICNC). He is a senior partner in the Swiss Blue Brain Project and EU Human Brain Project.

Early life and education Idan Segev was born in London. His mother, Shoshana Ashman-Segev, was a piano teacher, writer and journalist. His father, Victor Segev, was a journalist and artist. His younger brother is a professor at Ben-Gurion University of the Negev. As a child he lived for several years in Paris. Later the family moved to Jerusalem, where he attended Leyada, the Hebrew University Secondary School. Segev is married to Vered, an artist and former dean of the Jerusalem Academy of Music and Dance. They have twin daughters. In 1970, Segev began undergraduate studies in mathematics and biology at the Hebrew University of Jerusalem. He completed a master's degree at the same institution and commenced his doctoral studies in 1976. Between 1982 and 1985, Segev completed postdoctoral studies at the National Institutes of Health under the guidance of Wilfrid Rall, where he developed mathematical models of electrical signal flow in nerve cells and their dendritic trees.

Career In 1985, Segev joined the Hebrew University's Institute of Life Sciences as a researcher, and has been affiliated with the Edmond and Lily Safra Center for Brain Sciences since 2009. Since 2017, Segev has headed the Patrick Drahi Laboratory for Neural Computation. His research focuses on the neuronal networks of the mammalian and human brain, in an attempt to answer the question, "what differentiates the human brain from that of other animals?" Segev suggests that it is not only the size or number of brain cells but the details of their structure and the specific interconnectivity between them. Segev has been studying the relationship between the brain and art. Following his participation in the Art of the Brain Conference at Kibbutz Kabri in 2004, he co-edited a collection of essays on the subject illustrated with brain-inspired etchings by leading Israeli artists. In 2005, he joined the Blue Brain Project, working with Henry Markram of the École Polytechnique Fédérale de Lausanne (EPFL) to develop detailed digital reconstructions and simulations of the mammalian brain. In 2013, he also joined the EU Human Brain Project, which combines theoretical, experimental, and clinical research to advance understanding of the healthy and diseased brain. In 2015, it was reported that an international team of scientists including Segev had created the first detailed, computerized representation of brain tissue. After 20 years of biological experiments at EPFL and institutes in Israel, Hungary, the United States China, Sweden and the UK, the team presented the digital reconstruction of the region in a rat's brain that responds to touch (somatosensory system). This reconstructed simulated circuit enabled experiments that could not be performed using biological tissue. In 2017, Segev and his team presented the first direct evidence that human neocortical neurons have distinct membrane properties that enhance their signal processing capabilities. In 2018, at a 3-day conference at the newly opened Edmond and Lily Safra Center for Brain Sciences attended by brain researchers from around the world, Segev said that humanity was in the middle of its biggest revolution, "the machine learning revolution", which he described as bigger than the industrial revolution or the information revolution. Almo Collegio Borromeo of Pavia awarded Segev the Casella Prize in 2019, and shared the 2020 COMBINE (Collaborative Opportunities for Multidisciplinary, Bold and Innovative Neuroscience) award together with five colleagues.

Published works

Books Methods in Neuronal Modeling: From Synapses to Networks (1989) Methods in Neuronal Modeling: From Ions to Networks (1998) The Theoretical Foundation of Dendritic Function: The Collected Papers of Wilfrid Rall with Commentaries (2003) Augmenting Cognition (2011) Brain and art(editor) (2014) Perspectives on Consciousness: Inquiries into Subjective Experience across Disciples (editor) (2025)

References

External links ELSC video: How learning shapes your brain, Idan Segev Kobi Meidan interviews Idan Segev ELSC members: Idan Segev Segev lecture, Israeli Brain Awareness Week 2012

Illustrations

Idan Segev illustration

Worked examples

Example 1 — a first encounter with Idan Segev

Start with the simplest possible case. Write down what Idan Segev claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Idan Segev before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Idan Segev ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Idan Segev

In research
Idan Segev appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Idan Segev in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Idan Segev is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1949 births, Academic staff of the Hebrew University of Jerusalem, Israeli Jews, so understanding it makes those chapters shorter.
In everyday life
Look for Idan Segev outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Idan Segev in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Idan Segev means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Idan Segev out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Idan Segev in simple terms?

Idan Segev (born November 11, 1949) is an Israeli brain researcher and professor of computational neuroscience at the Edmond and Lily Safra Center for Brain Sciences (ELSC) of the Hebrew University of Jerusalem, where he also serves as head of the Department of Neurobiology and the Interdisciplinar…

Why does Idan Segev matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Idan Segev?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Idan Segev.

Tags

  • 1949 births
  • Academic staff of the Hebrew University of Jerusalem
  • Israeli Jews
  • Israeli neuroscientists
  • Israeli scientists
  • Living people

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