Electrodes · Instrumentation
Organoid Array
A publication about the hardware between living neurons and a computer: electrode arrays, the amplifiers and converters behind them, and the latency budget that decides whether a closed loop is possible at all.
Latest analysis
August 8, 2026 Clock-driven spiking networks and the window an array never getsA single-author tool paper extends hls4ml to compile PyTorch spiking networks into synchronous FPGA firmware, quoting a 33.6 microsecond full-window compute latency on a spiking audio benchmark. Read closely, that latency needs careful accounting, the sparsity dividend is left unclaimed, and the fixed-window state semantics are the real story for anyone wiring inference to a living culture.
August 8, 2026
The slow approach: VO2 oscillator jitter and the level-crossing front end
An eight-author experimental study pins VO2 oscillator linewidth on the stochastic incubation before the insulator-metal transition, and shows square-wave injection beats sinusoidal locking. The transferable result is a ruler for timing jitter in any threshold-crossing detector, including the ones between tissue and silicon.
August 7, 2026
Steered device noise and the at-array decoder
A single-author, pre-registered study shows that the intrinsic noise of analog neuromorphic silicon can be conditioned into a restoring force that protects previously learned weights, with a proof of concept on real BrainScaleS-2 hardware. For array systems it forces a partition of the noise budget: measurement noise remains a tax, while compute-substrate noise becomes a potential resource.
August 7, 2026
Hybrid neuron models can launder the recording chain
A Tubingen group embeds neural ODEs inside conductance-based neuron models to recover unknown ion channel gating from a single voltage trace. The same flexibility that compensates for model error will just as readily absorb instrumentation artifacts, unless the acquisition chain is modeled alongside the biology.
August 6, 2026
The gut sensor the recording chain was not built for
Neuropod cells are electrogenic gut sensory cells that form fast synapses onto the vagus, and a new grant proposes to record their activity and wire it to brainstem control. Read as instrumentation, it asks whether an acquisition chain tuned for cortical spikes can hear a sparse, secretory, barrier-embedded cell at all.
August 6, 2026
The Rett network deficit and the detection floor
This grant proposes to read Rett syndrome as a network-topology deficit in patient-derived cortical organoids grown at an air-liquid interface. Because those graph metrics are computed downstream of spike detection across a maturation window of weeks to months, the acquisition chain and its detection floor sit inside the phenotype it is trying to measure.
August 5, 2026
Closed-loop control of the electrode interface
A CAREER proposal treats the skin-electrode interface as something to be actively regulated rather than tolerated. The transferable idea for arrays is the control loop, not the number.
Start here
Standing explainers that do not go stale. Read the spec sheet first if this field is new to you.
The spec sheet
Organoid-on-a-chip and MEA hardware
The full interface: electrode materials, recording and stimulation electronics, microfluidics, and the closed-loop latency that makes biocomputing possible.
Specification
How electrode density shapes what you can read
Pitch, count and coverage, and why more electrodes stop helping once the tissue is the limit.
Specification
The signal acquisition chain, end to end
From electrode impedance through amplification and conversion to the noise floor you actually get.
Sections
How we work
Hardware claims are checked against datasheets and published measurements, and we distinguish a specification from a measured result: a quoted noise floor obtained in saline is not the noise floor you will see through living tissue. Where a number depends on conditions, we give the conditions or we do not give the number. The full method, including how pieces are selected and produced, is on the about page.