Bayesian experimental design (BED) provides a powerful and general framework for
optimizing the design of experiments. However, its deployment often poses substantial …

Advances in optical manipulation and observation of neural activity have set the stage for
widespread implementation of closed-loop and activity-guided optical control of neural …

Fluorescent calcium indicators are a popular means for observing the spiking activity of
large neuronal populations, but extracting the activity of each neuron from raw fluorescence …

Bayesian optimal experimental design (BOED) is a principled framework for making efficient
use of limited experimental resources. Unfortunately, its applicability is hampered by the …

Abstract We introduce implicit Deep Adaptive Design (iDAD), a new method for performing
adaptive experiments in real-time with implicit models. iDAD amortizes the cost of Bayesian …

Understanding the mechanisms of neural computation and learning will require knowledge
of the underlying circuitry. Because it is difficult to directly measure the wiring diagrams of …

Automation transformed various aspects of our human civilization, revolutionizing industries
and streamlining processes. In the domain of scientific inquiry, automated approaches …

Highlights•Modern recording technologies are creating data at a scale and complexity that
demand rigorous data analytical approaches.•Neural data science is an essential bridge …

Cognitive neuroscientists are often interested in broad research questions, yet use overly
narrow experimental designs by considering only a small subset of possible experimental …

Fluorescent calcium indicators are a popular means for observing the spiking activity of
large neuronal populations. Unfortunately, extracting the spike train of each neuron from raw …