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Field Atlas

Atlas / Biology / The Brain Thread

Field · Emerged 1957 – 2005

Systems Neuroscience

How do circuits of neurons represent the world, remember it, and guide behaviour?

5 chapters5 min read6 turning points1 open problem

Branched from
Neuroanatomy + Electrophysiology
Branched into
Computational Neuroscience
Figures
William Scoville, Brenda Milner, David Hubel, Torsten Wiesel, John O'Keefe, May-Britt Moser, Edvard Moser, Seiji Ogawa, Gero Miesenböck, Georg Nagel, Peter Hegemann, Karl Deisseroth, Edward Boyden

In brief

Systems neuroscience studies how networks of neurons, spread across brain regions, produce perception, memory and action. It asks what the neurons in a region respond to, how regions pass information between them, and which regions are needed for which abilities. Its evidence comes from patients with brain damage, from recording single neurons in animals as they see and move, and from scanners that picture activity in the whole human brain.

The field took shape in the late 1950s. A patient known as H.M. showed that forming new memories depends on one particular structure, and Hubel and Wiesel found that neurons in the visual cortex respond to edges at particular angles. Recordings in moving rats revealed place cells and grid cells, an inner map of space. From 1990 functional MRI let researchers watch the human brain at work, and from 2005 optogenetics let them switch chosen neurons on and off with light, testing what a circuit causes rather than only what it correlates with.

Key ideas

Receptive fieldEnters 1959 – 1962

The part of the world, and the kind of stimulus, that makes a particular neuron fire. A neuron in the primary visual cortex may respond only to a bar of light at one angle in one small spot.

Memory systemsEnters 1953 – 1957

Different kinds of memory depend on different brain structures. Forming new memories of facts and events needs the hippocampus, while learning skills does not.

Cognitive mapEnters 2005

An internal representation of space. Place cells in the hippocampus fire at particular places, and grid cells in the neighbouring cortex fire at the corners of a triangular lattice laid over the ground.

Functional imagingEnters 1990 – 1992

Methods that picture which brain regions are active. Functional MRI detects the extra oxygen-rich blood that flows to active tissue a few seconds after it works.

OptogeneticsEnters 2002 – 2005

Giving chosen neurons a gene for a light-sensitive ion channel, so that pulses of light switch them on or off within milliseconds.

Draws on other domains

Chapter I

From Cells to Circuits

By the 1950s neuroanatomy had mapped the brain's regions, and electrophysiology could record the impulses of a single fibre. Joining the two meant asking what the neurons of a particular region respond to, and what goes wrong when the region is lost. The answers came first from a patient.

In 1953 William Scoville, a surgeon in Hartford, Connecticut, removed the inner parts of both temporal lobes of Henry Molaison, known in the literature as H.M., to relieve his epilepsy. The operation took out much of the hippocampus on both sides. Afterwards Molaison could hold a conversation and remembered his childhood, but anything new was lost within minutes of his attention moving elsewhere. Brenda Milner of the Montreal Neurological Institute studied him from 1955. She found that he could learn a new skill, drawing while watching his hand in a mirror, improving day by day, while having no memory of having practised. Memory is not one thing, and the hippocampus is needed to lay down new memories of facts and events. Molaison was studied until his death in 2008.

Chapter II

What the Eye Tells the Brain

In 1958, at Johns Hopkins, David Hubel and Torsten Wiesel were recording from single neurons in the visual cortex of anaesthetised cats. Spots of light, which excite cells in the retina, did little. Then one neuron fired a burst as they slid a glass slide into the projector, and its faint edge swept across the screen. The cell responded to a line at one particular angle. Over the next years they found that the primary visual cortex breaks the image into short edges of every orientation, with neighbouring cells sharing preferences, and that later stages combine them. They also found that a kitten with one eye closed during an early critical period never recovers vision in that eye, because its connections in the cortex are lost.

Chapter III

Maps of Space

In 1971 John O'Keefe and Jonathan Dostrovsky at University College London recorded from the hippocampus of rats running freely and found place cells, each firing only when the rat was in one part of its enclosure. The hippocampus that H.M. had lost seemed to hold a map. In 2005 May-Britt Moser and Edvard Moser found the coordinates behind it. Grid cells in the entorhinal cortex fire at many places, arranged in a triangular lattice across the floor, like the points of a honeycomb pattern. Grids of different spacings together can specify a position much as digits specify a number. Other cells signal the direction the head faces and the distance to walls.

Recording electrodes see only a few neurons at a time. In 1990 Seiji Ogawa found that magnetic resonance imaging can detect the changes in blood oxygen that follow neural activity, and in 1992 several groups used it to watch the working human brain. Functional MRI showed regions for faces, places and words, and it became the main tool for studying the human brain in action.

Chapter IV

A Closer Look: What a Voxel Sees

A functional MRI scan divides the brain into small cubes called voxels, typically 1 to 3 millimetres on a side, and measures the blood-oxygen signal in each. How much brain is in one voxel?

The human cerebral cortex holds about 16.3 billion neurons in roughly 500 cubic centimetres of grey matter, or 500,000 cubic millimetres. On average that is

1.63×10105×105 mm3≈32,600 neurons per mm3.\frac{1.63 \times 10^{10}}{5 \times 10^{5} \text{ mm}^3} \approx 32{,}600 \text{ neurons per mm}^3 .
Voxel sideVolumeNeurons (approx.)
1 mm1 mm³33,000
2 mm8 mm³260,000
3 mm27 mm³880,000

With about 1.5×10141.5 \times 10^{14} synapses in the same volume, a 3 mm voxel also holds about 3×108×27≈83 \times 10^{8} \times 27 \approx 8 billion synapses. A single signal from a voxel is an average over nearly a million neurons, which may include cells doing opposite things.

Time is blurred as well. A nerve impulse lasts about a millisecond. The blood-flow response it triggers peaks about five seconds later, some 5/0.001=5,0005 / 0.001 = 5{,}000 times longer, and a typical scanner takes one image of the whole brain every two seconds. A ten-minute scan yields only 300 images.

This is why the field uses several methods at once. Hubel and Wiesel's electrodes record one neuron at a time with millisecond precision, but see almost nothing of the whole. MRI sees the whole brain, in blocks of hundreds of thousands of neurons and seconds of time. Modern silicon probes record from hundreds of neurons at once, and calcium imaging with glowing proteins from cell biology watches thousands, filling part of the gap.

Chapter V

Cause and Effect

Recording shows which neurons are active during a behaviour, not whether they cause it. In 2002 Gero Miesenböck made neurons fire with light using proteins from the fly's eye. Georg Nagel and Peter Hegemann had found channelrhodopsin, a light-gated channel from a green alga, and in 2005 Karl Deisseroth and Edward Boyden put it into mammalian neurons. Flashes of blue light made them fire, one impulse per flash. With genetic targeting, researchers could activate or silence one cell type in one region of a behaving mouse, and in 2012 reactivate neurons that had been tagged while a memory formed. Theories of how such circuits compute became computational neuroscience. Why any of this activity is accompanied by conscious experience is still unexplained.

Applications

Where it is used

Open problems

Where the map runs out

Open

How does the brain give rise to conscious experience?

Open as of 2026; the first large adversarial test of two leading theories, published in 2025, challenged both without settling the question.

Neuroscience can say which brain activity goes with seeing red or feeling pain. It cannot yet say why that activity is accompanied by experience at all, or which physical systems have experiences. The philosopher David Chalmers called this the hard problem, as distinct from the easier problems of explaining what the brain does.

Why it is hard

Experience is observed only from the inside, so it must be studied through what people report. Leading theories disagree on whether consciousness depends on information being broadcast widely across the cortex or on the structure of causal connections in the back of the brain, and experiments designed to separate them have not yet settled the matter.

What resolving it unlocks

Better ways to judge awareness in patients who cannot respond, a basis for questions about animal and machine consciousness, and a deeper understanding of the mind.

› Sources (3)

Further reading

  1. Hubel, D. H. (1988). Eye, Brain, and Vision. Scientific American Library.

    A clear, illustrated account of the visual system by one of its discoverers.

  2. Corkin, S. (2013). Permanent Present Tense: The Unforgettable Life of the Amnesic Patient, H. M. Basic Books.

    The life of Henry Molaison and what he taught about memory, by the scientist who studied him longest.

  3. Kandel, E. R. et al. (2021). Principles of Neural Science (6th ed.). McGraw-Hill.

    The standard textbook of neuroscience.