• Jayant et al (2016) - Targeted intracellular voltage recordings from dendritic spines using quantum-dot-coated nanopipettes. Usable for axons?
• Collins et al (2016) - Activity of the C. elegans egg-laying behavior circuit is controlled by competing activation and feedback inhibition. Small systems!

Just one this week:

• Goldstein and King (2016) - The Future of Cell Biology- Emerging Model Organisms. Let’s do research on weird living organisms!

• Zbili et al (2016) - Dynamic Control of Neurotransmitter Release by Presynaptic Potential. Action potentials are not all-or-none after all! From my collaborator Dominique Debanne.
• Petersen and Berg (2016) - Lognormal firing rate distribution reveals prominent fluctuation–driven regime in spinal motor networks. Somewhat related to our paper on coincidence detection.
• Ryan et al (2016) - The CNS connectome of a tadpole larva of Ciona intestinalis (L.) highlights sidedness in the brain of a chordate sibling. The second connectome in the history of connectomes; smaller than C. Elegans and still complicated!

Two review papers this week on autonomous systems – should be an inspiration for computational neuroscientists!

• Niven (2016) - Neuronal energy consumption- biophysics, efficiency and evolution. A review.
• Calabrese et al (2016) - The neural control of heartbeat in invertebrates. A cool autonomous system.
• Daur et al (2016) - The complexity of small circuits the stomatogastric nervous system. Another (perhaps more complex) autonomous system.

Some more patch clamp automation this week!

• Novak and Zahradnick (2005) - Computer-Aided Formation of the Whole-Cell Patch-Clamp Recording Configuration. An algorithm to identify pipette-cell configuration from current measurement.
• Kodandaramaiah et al (2016) - Assembly and operation of the autopatcher for automated intracellular neural recording in vivo. Looks pretty cool. Too bad it's not in Python!
• Campagnola et al (2014) - ACQ4 an open-source software platform for data acquisition and analysis in neurophysiology research. Python software for patch clamp (among other things); looks promising!
• Doose et al (2016) - Noisy Juxtacellular Stimulation In Vivo Leads to Reliable Spiking and Reveals High-Frequency Coding in Single Neurons. Stimulating a neuron extracellularly.
• Neto et al (2016) - Compartmentalized Microfluidic Platforms - The Unrivaled Breakthrough of In Vitro Tools for Neurobiological Research. Looks like an interesting review.

This week I got interested in automatic patch clamp. I would like to write an open source Python package to do that: contact me if you have relevant material or expertise! (eg controlling acquisition boards; video analysis; pressure control)

• Wu et al (2016) - Integration of autopatching with automated pipette and cell detection in vitro. Pretty cool stuff (code here). Unfortunate that there is no documentation, but at least it shows that automatic patch is possible.
• Perin and Markram (2016) - A Computer-assisted Multi-electrode Patch-clamp System. Only semi-automatic, but one cool idea: using a game controller to control the manipulators.
• Kolb et al (2016) - Cleaning patch-clamp pipettes for immediate reuse. Sounds amazing!
• Almog and Korngreen (2016) - Is realistic neuronal modeling realistic? Answer: no. Some good points in this review, in relation with a post I wrote some time ago and my recent review on single-compartment models.

This week many interesting reviews from a special issue of Current Biology on evolution of nervous systems (the first 6 papers):

• Tuthill and Wilson (2016) - Mechanosensation and Adaptive Motor Control in Insects.
• Schafer (2016) - Nematode nervous systems.
• Samrandache (2016) - Arthropod neurons and nervous system.
• Hochner and Glansman (2016) - Evolution of highly diverse forms of behavior in molluscs.
• Kristan (2016) - Early evolution of neurons.
• Warrant-(2016) - Sensory matched filters.
• Rojas et al (2011) - Differential Effects of Axon Initial Segment and Somatodendritic GABAA Receptors on Excitability Measures in Rat Dentate Granule Neurons. Modulation of threshold by axonal synapses.
• Eloundou-Mbebi et al (2016) - A network property necessary for concentration robustness. Sounds relevant for neural network robustness too.
• Crotty et al (2006) - Metabolic Energy Cost of Action Potential Velocity. About minimal energy consumption of axon conduction.
• Stein (2006) - Cell volume homeostasis- Ionic and nonionic mechanisms- The sodium pump in the emergence of animal cells. Is the primary function of he sodium pump cell volume homeostasis?

• Erecinska and Silver (1994) - Ions and energy in mammalian brain. Some information about ionic concentrations and their regulation.
• Clarke et al (2013) - Quantitative calculation of the role of the Na+,K+-ATPase in thermogenesis. Thermodynamics of ion movements in cells.
• Bollen et al (2016) - An efficient system to fund science- from proposal review to peer-to-peer distributions. An interesting alternative to grant agencies: every scientist is given a fixed budget that she chooses to give to a scientist of her choice.
• Marder and Bucher (2007) - Understanding Circuit Dynamics Using the Stomatogastric Nervous System of Lobsters and Crabs. A review on a very interesting CPG circuit.
• Golowasch et al (1999) - Network Stability from Activity-Dependent Regulation of Neuronal Conductances. A self-tuned model of the pyloric circuit.

• Harris and Attwell (2012) - The Energetics of CNS White Matter. There is a good collection of numbers about white matter, mainly optic nerve. Note that the energy equation for the resting potential is quite wrong (same as in Attwell & Laughlin 2001).
• Dewey (1896) - The reflex arc concept in psychology. A criticism of the input-ouput view of perception, which is still the basis of most contemporary systems and computational neuroscience, ie the idea that the brain responds to stimuli, when brain and environment are connected by a closed loop, not a mapping.
• Poirot and Timsit (2016) - Neuron-Like Networks Between Ribosomal Proteins Within the Ribosome. Sounds cool!

• Mudrik and Maoz (2015) - “Me & My Brain” Exposing Neuroscience's Closet Dualism. I agree: many neuroscientists are dualist! (e.g. neurons “encode” stuff; who in the brain is decoding then?)
• Tsien and Noble (1969) - A transition state theory approach to the kinetics of conductance changes in excitable membranes. Understanding channel state transitions.
• Benna and Fusi (2016) - Computational principles of synaptic memory consolidation. How to not forget things.